Data storage management system for holistic protection of serverless applications across multi-cloud computing environments

ABSTRACT

The present inventors devised a holistic approach for protecting serverless applications in single-cloud, multi-zone, multi-cloud, and/or non-cloud data center computing environments. An illustrative data storage management system discovers application assets, relationships, and interoperability dependencies and creates an “application entity” that references the various assets. Protection preferences apply to the application entity as a whole. An orchestration function in the system coordinates storage management operations (e.g., backup, replication, live synchronization, etc.) in a suitable order of operations gleaned from asset dependencies, if any. A set of copies of the application&#39;s discovered assets are generated in coordinated fashion and represent a point-in-time copy of the application. The point-in-time copy can be restored and/or migrated to other computing services by the data storage management system. The orchestration function coordinates restore and migration operations, including any cloud-to-cloud or cloud-to/from-non-cloud conversions that might be necessary to activate the application in a different computing environment.

INCORPORATION BY REFERENCE TO ANY PRIORITY APPLICATIONS

This application claims the benefit of priority to U.S. ProvisionalPatent Application Ser. No. 62/841,126 filed on Apr. 30, 2019. Any andall applications for which a foreign or domestic priority claim isidentified in the Application Data Sheet of the present application arehereby incorporated by reference in their entireties under 37 CFR 1.57.

COPYRIGHT NOTICE

A portion of the disclosure of this patent document contains materialwhich is subject to copyright protection. The copyright owner has noobjection to the facsimile reproduction by anyone of the patent documentand/or the patent disclosure as it appears in the United States Patentand Trademark Office patent file and/or records, but otherwise reservesall copyrights whatsoever.

BACKGROUND

Businesses recognize the commercial value of their data and seekreliable, cost-effective ways to protect the information stored on theircomputer networks while minimizing impact on productivity. A companymight back up critical computing systems such as databases, fileservers, web servers, virtual machines, and so on as part of a plannedmaintenance schedule. As cloud computing becomes ubiquitous inenterprise data processing, protecting the applications that run incloud computing environments and the applications' associated data posesa number of technological challenges, whether in single-cloud ormulti-cloud scenarios.

SUMMARY

The present inventors devised an approach to protecting, restoring, andmigrating so-called “serverless” applications that are deployed withinone or more cloud computing environments, which are sometimes referredto as “cloud-native distributed applications.” A “cloud computingenvironment” as used herein comprises a collection (or suite) ofresources provided as a service by a cloud service provider to a cloudservice account. A cloud computing environment is accessed via the cloudservice account, which entitles the subscriber to a suite of services ina particular cloud service supplied by a cloud service provider. Cloudcomputing environments vary among cloud services, among cloudavailability zones, and even among cloud service accounts from the samecloud service provider. A cloud computing environment as used hereinneed not comprise data processing (computing) resources and can belimited to data storage and retrieval features.

Serverless applications use various resources that are distributedwithin a cloud computing environment, across cloud availability zones,and/or across multiple cloud computing environments. Typically,serverless applications are hosted in a cloud service and usetransitory, temporary, and/or persistent cloud storage to store theirdata. Serverless applications are enabled by cloud infrastructure thateliminates the need for application creators to closely manage theinfrastructure needed for the application, such as provisioning servers,clusters, virtual machines, storage devices, and/or network resources.Instead, an application's creator uses resources made available in thecloud computing environment to construct the application, run theapplication, and store relevant data for the application, includingdatabases of information and/or results generated by the application.Thus, serverless applications can be referred to as distributedapplications. Additionally, applications with distributed assets that donot meet the definition of “serverless” also are referred to herein as“distributed applications,” e.g., applications that operate withinnon-cloud data centers.

Examples of serverless applications include web-based applications. Aweather service accessible to consumers provides a useful example,without limitation. In such an exemplary serverless application,geographic and long-term climate databases are stored in the cloud. Asnew weather data is fed to a weather analysis function operating in thecloud, the application generates weather forecasts and stores theforecast information in the cloud. Consumers consume the weatherforecasts when they access the weather application. In this example,some of the application's functions are supplied by the application'screator, e.g., weather data processing and analysis. Other functions aresupplied by the cloud service provider, e.g., application triggers,statistical analysis features, etc. Data storage associated with theweather application includes the weather forecasts available toconsumers as well as databases comprising geographic and long-termclimate data.

The resources used by the exemplary weather application, and moregenerally, resources used by other serverless/distributed applications,are referred to herein as “assets” of the application. Thus, anapplication's assets are resources used in whole or in part by theapplication to perform its function. Some assets are cloud-based, butnot necessarily all. In the weather forecast example above, theapplication's creators supply the weather analysis programming (hostedin the cloud), specify which cloud-based databases are to providegeographic and long-term climate data, and define how the resultantweather forecasts are to be stored in cloud storage and presented toapplication users. The cloud computing environment supplies the dataprocessing (computing) resources, statistical analysis features, andassociated data storage without necessarily requiring the application'screators to request them, expressly set them up, and/or maintain them.

In cloud computing, a serverless application is characterized by a“cloud services definition.” The cloud services definition specifies theresources supplied by the application's creator as well as otherresources needed by the application and supplied by the cloud computingenvironment. The cloud services definition comprises necessary buildingblocks for the application as well as relationships among the buildingblocks, such as data sources, data destinations, functional blocks,triggers, dependencies, etc. Thus, a cloud services definitionrepresents the application's architecture in terms of cloud servicesassets. Examples of cloud services assets include without limitation:running virtual computing environments (e.g., instances); pre-configuredtemplates for the virtual computing environments; secure logininformation (e.g., based on Active Directory); storage for temporarydata (e.g., instance storage volumes); persistent data storage; metadatato assign to the cloud account's resources; virtual networks; snapshots;security groups; application configurations such as CPU settings,firewall information, IP addresses, load balancer resources, etc.;lambda functions; native cloud applications; virtual machines;databases; block storage; file storage; etc., without limitation.Nomenclatures and functionality for cloud services assets vary amongcloud service providers and implementations; likewise, how a cloudservices definition is created, expressed, and presented to users alsovaries among cloud service providers; however, based at least in part ondocumentation supplied by the cloud service provider, thevendor-specific nomenclature and functionality will be clear to thoseskilled in the art.

One of the features of the illustrative data storage management systemis to enable portability and migration of serverless applications from asource environment to a destination environment that is substantiallydifferent from the source. Accordingly, the system is configured torecognize how a given asset at the source might differ from anequivalent asset at the destination and to perform suitable conversionsto successfully complete migration from one computing environment toanother. For example, a given statistical feature (e.g., moving average,etc.) might be invoked differently by different cloud services.Long-term data storage might be addressed and/or accessed differently atdifferent cloud services. The illustrative data storage management isconfigured to navigate these differences and provide suitableconversion, re-configuration, and/or adaptation, so that a serverlessapplication can be protected (e.g., backed up, replicated, etc.) andmigrated from one cloud service to another, from one cloud serviceaccount to another, from one cloud availability zone to another, andeven between cloud and non-cloud data centers.

The weather forecasting example above is not limiting. Other serverlessapplications are created and owned by enterprises that buy/lease/use webservices from one or more cloud service providers, such as Amazon(Amazon Web Services AWS), Microsoft (Azure), and others, and/or buildand operate their own cloud computing environments. Accordingly, eachserverless application has an architecture that defines how theapplication's assets interoperate.

One of the features of the illustrative data storage management systemis to discover an application's cloud services assets. In someembodiments, the system obtains access to the application's cloudservices definition as a starting point for asset discovery and extractspertinent information therefrom. In other embodiments, the assetdiscovery process proceeds piecemeal, by analyzing assets' input/outputrelationships to other assets in a kind of chain-link or bootstrapapproach. In such embodiments, once a first asset is exposed to the datastorage management system, the discovery process identifies otherrelevant assets, e.g., by analyzing asset configurations to determinerelationships to other assets. The asset discovery process thus variesfrom one cloud computing environment to another and further varies fromone serverless application to another, depending on what assets areinvolved.

Some serverless applications are configured with assets that aredistributed among two or more cloud computing environments and/ornon-cloud data centers. For example, an application might use a databasethat is stored in a non-cloud data center rather than in the cloudcomputing environment that hosts the application's data processing.Furthermore, the application might store all its final outputs to datastorage in a second cloud computing environment or perhaps in a cloudavailability zone that is different from the zone hosting theapplication's data processing. Applications that cross cloud/zoneboundaries are referred to herein as “multi-cloud” applications inrecognition of the fact that a single cloud computing environment and/orcloud availability zone does not comprise all the application's assets.The illustrative asset discovery process for a multi-cloud applicationis generally more complex than single-cloud scenarios, because the datastorage management system will require access to every cloud, zone,and/or non-cloud data center comprising application assets. This aspectadvantageously enables the illustrative holistic approach to protectionof serverless applications regardless of their footprint.

Traditional data storage management does not deal well with serverlessapplications' distributed architectures. An example is set forth next:in a traditional data management system, databases are protected undertheir own identities and preferences (e.g., database-specific storagepolicies); file data is protected separately by its own separateidentity and preferences (e.g., file system-specific storage policiesapplicable to certain file data and/or block data storage); and virtualmachines (VMs) and VM data are protected by VM-relatedpreferences/policies. In the weather forecasting example above, thegeographic and climate databases might be protected under their owndatabase-specific schedules/policies, whereas the forecast results mightbe protected by another policy/schedule covering file data. Thisdispersed approach generally fails to create copies of the application'sassets that are point-in-time coordinated. Moreover, the copies mightnot be associated with each other in a manner that enables all thenecessary copies of an application to be readily found. Thus, protectinga distributed serverless application according to traditional approachesgenerally does not provide for an integrated point-in-time view of theapplication as a whole, including its assets. For multi-cloud serverlessapplications, point-in-time views are even more difficult to create, aseach cloud computing environment and/or non-cloud data center comprisingapplication assets is likely to be governed by different protectionpreferences and schedules, ultimately resulting in asynchronous anddisassociated copies. Without a coordinated view, the application cannotbe reliably restored to or migrated from a certain operational point intime. Therefore, a streamlined solution is needed to address theseshortcomings in the prior art.

The present inventors devised a holistic approach for protectingserverless applications in single-cloud, multi-zone, multi-cloud, and/ornon-cloud data center computing environments. An illustrative datastorage management system discovers application assets and creates an“application entity” that references the various assets. Protectionpreferences apply to the application entity as a whole. An orchestrationfunction in the system coordinates storage management operations (e.g.,backup, replication, live synchronization, etc.). The system coordinatesand generates a set of copies of the application's discovered assets,which represent a point-in-time view of the application. The set ofcopies can be restored and/or migrated to other computing services bythe data storage management system.

Protection preferences (e.g., storage policies, schedule policies,Recovery Point Objectives (RPO), storage destinations, retentionpolicies, etc.) apply to the application entity as a whole, ensuringthat copies are coordinated to create the desired point-in-time view.The system also generates an “asset mapping” that captures dependenciesgleaned during the asset discovery process. For example, a dataprocessing function F may depend upon (a) user-input configurationparameters C and (b) additional data extracted from a database D.Illustratively function F depends on assets C and D. These relationshipsare stored in the asset mapping and they may affect an “order ofoperations,” which is used when the storage management operation isinitiated. For example, the order of operations might capture theuser-input configuration parameters C first, followed by capturing thedatabase D, followed by capturing the data processing function'sexecutable files (e.g., binaries, etc.) in that order. In someembodiments, the order of operations is stored within or in associationwith the asset mapping. In other embodiments, the order of operations isdetermined on demand, when the storage management operation isinitiated.

When a storage management operation (e.g., backup, replication, livesynchronization, etc.) is to be applied to the application entity, anorchestration function coordinates individual operations (e.g., usingthe order of operations), so that data integrity is maintained. Theorchestration function also coordinates restore and migrationoperations, including any cloud-to-cloud (or cloud to/from non-clouddata center) conversions that might be necessary among applicationassets to activate the application in a different computing environment.The illustrative data storage management system deploys suitable storagemanagement components (e.g., storage manager, data agents, media agents,secondary storage resources) in executing the storage managementoperation. The result comprises a full set of copies of applicationassets as well as comprehensive indexing. For example and withoutlimitation, a database data agent is deployed for a first databaseasset, and a different database agent is deployed for a different kindof database asset; a file system data agent is deployed for applicationconfiguration file(s), executable files, and/or data output files; avirtual server data agent is deployed for virtual machine assets, etc.Media agents are deployed for generating copies, storing copies tosecondary storage, and indexing the set of copies. The full set ofcopies are associated with each other and the set represents apoint-in-time view of the application at the time the storage operationwas initiated.

In some embodiments, a given cloud services asset is associated withmore than one serverless application. For example, a database mightcomprise data used by several serverless applications. Accordingly, thedatabase is part of the cloud services assets for each serverlessapplication and the database is backed up along with a givenapplication's assets according to the preferences for the givenapplication-entity configured in the data storage management system.Depending on different preferences for the various applications, severalbackups of the same database might be taken, but each backup isassociated with a distinct point-in-time of a different serverlessapplication. This approach advantageously provides each serverlessapplication with a complete point-in-time view of its own assetsregardless of the role played by those assets within anotherapplication.

The full set of copies can be restored to the original computingenvironment (single cloud, multi-cloud, and/or non-cloud data center) bythe illustrative data storage management system to enable theapplication to run from the coordinated point-in-time copies.Alternatively, the application can be migrated to a different computingenvironment by migrating the full set of copies to one or more computingenvironments that differ from the original source. The migrationdestination can be a non-cloud data center, a corporate cloud, adifferent cloud computing service, a different cloud availability zone,a different cloud service account, and/or any combination thereof,without limitation. The data storage management system, including thevarious components it deploys, can operate in one or more computingenvironments, e.g., one or more cloud computing environments, in anon-cloud data center, and/or any combination thereof, withoutlimitation.

The illustrative data storage management system comprises an enhancedstorage manager that is responsible for the discovery and orchestrationfunctions, and for invoking cloud-based components of the system, suchas data agents, media agents, and/or storage resources. The storagemanager is a computing resource that is generally responsible formanaging storage operations throughout the data storage managementsystem and executes on a non-virtualized computing device or on avirtual machine in cloud or non-cloud environments, without limitation.Cloud services conversions, if needed, are also orchestrated by theenhanced storage manager. An enhanced file system data agent handlesaccess to/from configuration file(s) for native cloud applications. Thesystem also generates and stores new data structures in reference to theapplication entity that represents the serverless application. Thesedata structures, such as the application entity definition, the assetmapping, the preferences, and the associations and indexing information,are stored to one or more locations within the system where they can bereadily accessed. Illustratively, these data structures are stored in amanagement database associated with the storage manager, but theinvention is not so limited.

In sum, the illustrative data storage management system holisticallyprotects serverless applications that operate in various distributedenvironments, including single-cloud, multi-zone, multi-cloud, non-clouddata center, and/or any combination thereof. The data storage managementsystem treats each serverless application as a collective applicationentity whose assets are protected as a related group in a substantiallysynchronous manner to represent point-in-time views of the serverlessapplication.

The illustrative data storage management system is configured to restorethe sets of point-in-time copies of the application assets to the samecloud computing environment(s) where the original serverless applicationoperates, thus restoring the serverless application to its point-in-timeview. The illustrative data storage management is further configured tomigrate the serverless application by migrating, and converting if needbe, the sets of point-in-time copies of the application assets tocomputing environments that differ from the application's source,including single-cloud, multi-zone, multi-cloud, non-cloud data center,and/or any combination thereof. System components, such as media agentsand data agents are invoked for retrieving the copies from secondarystorage and restoring them to operational form in the destinationcomputing environment(s).

In some embodiments, the data storage management system is furtherconfigured to recommend an improved and coordinated schedule forprotecting the various assets that are associated with one or moreserverless applications. For example, if a certain database isassociated with a serverless application, it will be backed up accordingto the preferences for the application-entity. But it might also beprotected according to preferences for the database entity itself, thuscreating separate rounds of backup operations for the same database. Thedata storage management system will generate recommendations for acoordinated schedule that unifies the database backups and reducesredundancies. The coordinated schedule will be recommended to systemadministrators for approval. In alternative embodiments, the coordinatedschedule will be automatically implemented when the system detects aredundancy between application-entity protection and individual assetprotection, without limitation.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1A is a block diagram illustrating an exemplary informationmanagement system.

FIG. 1B is a detailed view of a primary storage device, a secondarystorage device, and some examples of primary data and secondary copydata.

FIG. 1C is a block diagram of an exemplary information management systemincluding a storage manager, one or more data agents, and one or moremedia agents.

FIG. 1D is a block diagram illustrating a scalable informationmanagement system.

FIG. 1E illustrates certain secondary copy operations according to anexemplary storage policy.

FIGS. 1F-1H are block diagrams illustrating suitable data structuresthat may be employed by the information management system.

FIG. 2A illustrates a system and technique for synchronizing primarydata to a destination such as a failover site using secondary copy data.

FIG. 2B illustrates an information management system architectureincorporating use of a network file system (NFS) protocol forcommunicating between the primary and secondary storage subsystems.

FIG. 2C is a block diagram of an example of a highly scalable manageddata pool architecture.

FIG. 3A is a block diagram illustrating some salient portions of asystem 300 for holistically protecting serverless applications in acloud computing environment, according to an illustrative embodiment ofthe present invention.

FIG. 3B is a block diagram illustrating some salient portions of system300 for holistically protecting serverless applications from a cloudcomputing environment, wherein system 300 operates outside the cloud,according to an illustrative embodiment of the present invention.

FIG. 3C is a block diagram illustrating some salient portions of system300 for holistically protecting serverless applications from a pluralityof cloud computing environments, wherein system 300 operates outside thecloud, according to an illustrative embodiment of the present invention.

FIG. 3D is a block diagram illustrating some salient portions of system300 for holistically protecting a serverless application from a firstcloud computing environment and migrating the serverless application toa second cloud computing environment, according to an illustrativeembodiment of the present invention.

FIG. 4 is a block diagram illustrating some salient assets of aserverless application that is protected and restored by system 300,according to an illustrative embodiment of the present invention.

FIG. 5A is a block diagram illustrating some salient portions of system300 protecting a serverless application comprising a plurality ofassets, according to an illustrative embodiment of the presentinvention.

FIG. 5B is a block diagram illustrating some salient portions of system300, including storage manager 540 and management database 546,according to an illustrative embodiment of the present invention.

FIG. 6 depicts some salient operations of a method 600 according to anillustrative embodiment of the present invention.

FIG. 6 depicts some salient operations of block 602 in method 600.

FIG. 7A depicts some salient operations of a method 600 according to anillustrative embodiment of the present invention.

FIG. 7B depicts some additional salient operations of block 602 inmethod 600.

FIG. 8A depicts some salient operations of block 606 in method 600.

FIG. 8B depicts some additional salient operations of block 606 inmethod 600.

FIG. 9 depicts some salient operations of block 808 in method 600.

FIG. 10 depicts some salient operations of block 610 in method 600.

FIG. 11 depicts an illustrative order of operations.

FIG. 12 depicts an illustrative list (catalogue, inventory) of cloudcomputing environment assets of an application configured in a cloudaccount.

FIG. 13 depicts an illustrative serverless distributed applicationservice definition in a cloud computing environment.

FIG. 14 depicts an illustrative service definition of a serverlessapplication that is distributed across multiple cloud computingenvironments.

DETAILED DESCRIPTION

Detailed descriptions and examples of systems and methods according toone or more illustrative embodiments of the present invention may befound in the section entitled HOLISTICALLY PROTECTING SERVERLESSAPPLICATIONS DISTRIBUTED ACROSS ONE OR MORE CLOUD COMPUTINGENVIRONMENTS, as well as in the section entitled Example Embodiments,and also in FIGS. 3A-14 herein. Furthermore, components andfunctionality for protecting serverless applications distributed acrossone or more cloud computing environments may be configured and/orincorporated into information management systems such as those describedherein in FIGS. 1A-1H and 2A-2C.

Various embodiments described herein are intimately tied to, enabled by,and would not exist except for, computer technology. For example,discovering serverless application assets, orchestrating storagemanagement operations therefor, and/or restoring/migrating serverlessapplications from sets if point-in-time copies as described herein inreference to various embodiments cannot reasonably be performed byhumans alone, without the computer technology upon which they areimplemented.

Information Management System Overview

With the increasing importance of protecting and leveraging data,organizations simply cannot risk losing critical data. Moreover, runawaydata growth and other modern realities make protecting and managing dataincreasingly difficult. There is therefore a need for efficient,powerful, and user-friendly solutions for protecting and managing dataand for smart and efficient management of data storage. Depending on thesize of the organization, there may be many data production sourceswhich are under the purview of tens, hundreds, or even thousands ofindividuals. In the past, individuals were sometimes responsible formanaging and protecting their own data, and a patchwork of hardware andsoftware point solutions may have been used in any given organization.These solutions were often provided by different vendors and had limitedor no interoperability. Certain embodiments described herein addressthese and other shortcomings of prior approaches by implementingscalable, unified, organization-wide information management, includingdata storage management.

FIG. 1A shows one such information management system 100 (or “system100”), which generally includes combinations of hardware and softwareconfigured to protect and manage data and metadata that are generatedand used by computing devices in system 100. System 100 may be referredto in some embodiments as a “storage management system” or a “datastorage management system.” System 100 performs information managementoperations, some of which may be referred to as “storage operations” or“data storage operations,” to protect and manage the data residing inand/or managed by system 100. The organization that employs system 100may be a corporation or other business entity, non-profit organization,educational institution, household, governmental agency, or the like.

Generally, the systems and associated components described herein may becompatible with and/or provide some or all of the functionality of thesystems and corresponding components described in one or more of thefollowing U.S. patents/publications and patent applications assigned toCommvault Systems, Inc., each of which is hereby incorporated byreference in its entirety herein:

-   -   U.S. Pat. No. 7,035,880, entitled “Modular Backup and Retrieval        System Used in Conjunction With a Storage Area Network”;    -   U.S. Pat. No. 7,107,298, entitled “System And Method For        Archiving Objects In An Information Store”;    -   U.S. Pat. No. 7,246,207, entitled “System and Method for        Dynamically Performing Storage Operations in a Computer        Network”;    -   U.S. Pat. No. 7,315,923, entitled “System And Method For        Combining Data Streams In Pipelined Storage Operations In A        Storage Network”;    -   U.S. Pat. No. 7,343,453, entitled “Hierarchical Systems and        Methods for Providing a Unified View of Storage Information”;    -   U.S. Pat. No. 7,395,282, entitled “Hierarchical Backup and        Retrieval System”;    -   U.S. Pat. No. 7,529,782, entitled “System and Methods for        Performing a Snapshot and for Restoring Data”;    -   U.S. Pat. No. 7,617,262, entitled “System and Methods for        Monitoring Application Data in a Data Replication System”;    -   U.S. Pat. No. 7,734,669, entitled “Managing Copies Of Data”;    -   U.S. Pat. No. 7,747,579, entitled “Metabase for Facilitating        Data Classification”;    -   U.S. Pat. No. 8,156,086, entitled “Systems And Methods For        Stored Data Verification”;    -   U.S. Pat. No. 8,170,995, entitled “Method and System for Offline        Indexing of Content and Classifying Stored Data”;    -   U.S. Pat. No. 8,230,195, entitled “System And Method For        Performing Auxiliary Storage Operations”;    -   U.S. Pat. No. 8,285,681, entitled “Data Object Store and Server        for a Cloud Storage Environment, Including Data Deduplication        and Data Management Across Multiple Cloud Storage Sites”;    -   U.S. Pat. No. 8,307,177, entitled “Systems And Methods For        Management Of Virtualization Data”;    -   U.S. Pat. No. 8,364,652, entitled “Content-Aligned, Block-Based        Deduplication”;    -   U.S. Pat. No. 8,578,120, entitled “Block-Level Single        Instancing”;    -   U.S. Pat. No. 8,954,446, entitled “Client-Side Repository in a        Networked Deduplicated Storage System”;    -   U.S. Pat. No. 9,020,900, entitled “Distributed Deduplicated        Storage System”;    -   U.S. Pat. No. 9,098,495, entitled “Application-Aware and Remote        Single Instance Data Management”;    -   U.S. Pat. No. 9,239,687, entitled “Systems and Methods for        Retaining and Using Data Block Signatures in Data Protection        Operations”;    -   U.S. Pat. No. 9,633,033, entitled “High Availability Distributed        Deduplicated Storage System”;    -   U.S. Pat. Pub. No. 2006/0224846, entitled “System and Method to        Support Single Instance Storage Operations”;    -   U.S. Pat. Pub. No. 2016-0350391, entitled “Replication Using        Deduplicated Secondary Copy Data”;    -   U.S. Pat. Pub. No. 2017-0168903 A1, entitled “Live        Synchronization and Management of Virtual Machines across        Computing and Virtualization Platforms and Using Live        Synchronization to Support Disaster Recovery”;    -   U.S. Pat. Pub. No. 2017-0185488 A1, entitled “Application-Level        Live Synchronization Across Computing Platforms Including        Synchronizing Co-Resident Applications To Disparate Standby        Destinations And Selectively Synchronizing Some Applications And        Not Others”;    -   U.S. Pat. Pub. No. 2017-0192866 A1, entitled “System For        Redirecting Requests After A Secondary Storage Computing Device        Failure”;    -   U.S. Pat. Pub. No. 2017-0235647 A1, entitled “Data Protection        Operations Based on Network Path Information”;    -   and    -   U.S. Pat. Pub. No. 2017-0242871 A1, entitled “Data Restoration        Operations Based on Network Path Information”.

System 100 includes computing devices and computing technologies. Forinstance, system 100 can include one or more client computing devices102 and secondary storage computing devices 106, as well as storagemanager 140 or a host computing device for it. Computing devices caninclude, without limitation, one or more: workstations, personalcomputers, desktop computers, or other types of generally fixedcomputing systems such as mainframe computers, servers, andminicomputers. Other computing devices can include mobile or portablecomputing devices, such as one or more laptops, tablet computers,personal data assistants, mobile phones (such as smartphones), and othermobile or portable computing devices such as embedded computers, set topboxes, vehicle-mounted devices, wearable computers, etc. Servers caninclude mail servers, file servers, database servers, virtual machineservers, and web servers. Any given computing device comprises one ormore processors (e.g., CPU and/or single-core or multi-core processors),as well as corresponding non-transitory computer memory (e.g.,random-access memory (RAM)) for storing computer programs which are tobe executed by the one or more processors. Other computer memory formass storage of data may be packaged/configured with the computingdevice (e.g., an internal hard disk) and/or may be external andaccessible by the computing device (e.g., network-attached storage, astorage array, etc.). In some cases, a computing device includes cloudcomputing resources, which may be implemented as virtual machines. Forinstance, one or more virtual machines may be provided to theorganization by a third-party cloud service vendor.

In some embodiments, computing devices can include one or more virtualmachine(s) running on a physical host computing device (or “hostmachine”) operated by the organization. As one example, the organizationmay use one virtual machine as a database server and another virtualmachine as a mail server, both virtual machines operating on the samehost machine. A Virtual machine (“VM”) is a software implementation of acomputer that does not physically exist and is instead instantiated inan operating system of a physical computer (or host machine) to enableapplications to execute within the VM's environment, i.e., a VM emulatesa physical computer. AVM includes an operating system and associatedvirtual resources, such as computer memory and processor(s). Ahypervisor operates between the VM and the hardware of the physical hostmachine and is generally responsible for creating and running the VMs.Hypervisors are also known in the art as virtual machine monitors or avirtual machine managers or “VMMs”, and may be implemented in software,firmware, and/or specialized hardware installed on the host machine.Examples of hypervisors include ESX Server, by VMware, Inc. of PaloAlto, Calif.; Microsoft Virtual Server and Microsoft Windows ServerHyper-V, both by Microsoft Corporation of Redmond, Wash.; Sun xVM byOracle America Inc. of Santa Clara, Calif.; and Xen by Citrix Systems,Santa Clara, Calif. The hypervisor provides resources to each virtualoperating system such as a virtual processor, virtual memory, a virtualnetwork device, and a virtual disk. Each virtual machine has one or moreassociated virtual disks. The hypervisor typically stores the data ofvirtual disks in files on the file system of the physical host machine,called virtual machine disk files (“VMDK” in VMware lingo) or virtualhard disk image files (in Microsoft lingo). For example, VMware's ESXServer provides the Virtual Machine File System (VMFS) for the storageof virtual machine disk files. A virtual machine reads data from andwrites data to its virtual disk much the way that a physical machinereads data from and writes data to a physical disk. Examples oftechniques for implementing information management in a cloud computingenvironment are described in U.S. Pat. No. 8,285,681. Examples oftechniques for implementing information management in a virtualizedcomputing environment are described in U.S. Pat. No. 8,307,177.

Information management system 100 can also include electronic datastorage devices, generally used for mass storage of data, including,e.g., primary storage devices 104 and secondary storage devices 108.Storage devices can generally be of any suitable type including, withoutlimitation, disk drives, storage arrays (e.g., storage-area network(SAN) and/or network-attached storage (NAS) technology), semiconductormemory (e.g., solid state storage devices), network attached storage(NAS) devices, tape libraries, or other magnetic, non-tape storagedevices, optical media storage devices, combinations of the same, etc.In some embodiments, storage devices form part of a distributed filesystem. In some cases, storage devices are provided in a cloud storageenvironment (e.g., a private cloud or one operated by a third-partyvendor), whether for primary data or secondary copies or both.

Depending on context, the term “information management system” can referto generally all of the illustrated hardware and software components inFIG. 1C, or the term may refer to only a subset of the illustratedcomponents. For instance, in some cases, system 100 generally refers toa combination of specialized components used to protect, move, manage,manipulate, analyze, and/or process data and metadata generated byclient computing devices 102. However, system 100 in some cases does notinclude the underlying components that generate and/or store primarydata 112, such as the client computing devices 102 themselves, and theprimary storage devices 104. Likewise, secondary storage devices 108(e.g., a third-party provided cloud storage environment) may not be partof system 100. As an example, “information management system” or“storage management system” may sometimes refer to one or more of thefollowing components, which will be described in further detail below:storage manager, data agent, and media agent.

One or more client computing devices 102 may be part of system 100, eachclient computing device 102 having an operating system and at least oneapplication 110 and one or more accompanying data agents executingthereon; and associated with one or more primary storage devices 104storing primary data 112. Client computing device(s) 102 and primarystorage devices 104 may generally be referred to in some cases asprimary storage subsystem 117.

Client Computing Devices, Clients, and Subclients

Typically, a variety of sources in an organization produce data to beprotected and managed. As just one illustrative example, in a corporateenvironment such data sources can be employee workstations and companyservers such as a mail server, a web server, a database server, atransaction server, or the like. In system 100, data generation sourcesinclude one or more client computing devices 102. A computing devicethat has a data agent 142 installed and operating on it is generallyreferred to as a “client computing device” 102, and may include any typeof computing device, without limitation. A client computing device 102may be associated with one or more users and/or user accounts.

A “client” is a logical component of information management system 100,which may represent a logical grouping of one or more data agentsinstalled on a client computing device 102. Storage manager 140recognizes a client as a component of system 100, and in someembodiments, may automatically create a client component the first timea data agent 142 is installed on a client computing device 102. Becausedata generated by executable component(s) 110 is tracked by theassociated data agent 142 so that it may be properly protected in system100, a client may be said to generate data and to store the generateddata to primary storage, such as primary storage device 104. However,the terms “client” and “client computing device” as used herein do notimply that a client computing device 102 is necessarily configured inthe client/server sense relative to another computing device such as amail server, or that a client computing device 102 cannot be a server inits own right. As just a few examples, a client computing device 102 canbe and/or include mail servers, file servers, database servers, virtualmachine servers, and/or web servers.

Each client computing device 102 may have application(s) 110 executingthereon which generate and manipulate the data that is to be protectedfrom loss and managed in system 100. Applications 110 generallyfacilitate the operations of an organization, and can include, withoutlimitation, mail server applications (e.g., Microsoft Exchange Server),file system applications, mail client applications (e.g., MicrosoftExchange Client), database applications or database management systems(e.g., SQL, Oracle, SAP, Lotus Notes Database), word processingapplications (e.g., Microsoft Word), spreadsheet applications, financialapplications, presentation applications, graphics and/or videoapplications, browser applications, mobile applications, entertainmentapplications, and so on. Each application 110 may be accompanied by anapplication-specific data agent 142, though not all data agents 142 areapplication-specific or associated with only application. A file managerapplication, e.g., Microsoft Windows Explorer, may be considered anapplication 110 and may be accompanied by its own data agent 142. Clientcomputing devices 102 can have at least one operating system (e.g.,Microsoft Windows, Mac OS X, iOS, IBM z/OS, Linux, other Unix-basedoperating systems, etc.) installed thereon, which may support or hostone or more file systems and other applications 110. In someembodiments, a virtual machine that executes on a host client computingdevice 102 may be considered an application 110 and may be accompaniedby a specific data agent 142 (e.g., virtual server data agent).

Client computing devices 102 and other components in system 100 can beconnected to one another via one or more electronic communicationpathways 114. For example, a first communication pathway 114 maycommunicatively couple client computing device 102 and secondary storagecomputing device 106; a second communication pathway 114 maycommunicatively couple storage manager 140 and client computing device102; and a third communication pathway 114 may communicatively couplestorage manager 140 and secondary storage computing device 106, etc.(see, e.g., FIG. 1A and FIG. 1C). A communication pathway 114 caninclude one or more networks or other connection types including one ormore of the following, without limitation: the Internet, a wide areanetwork (WAN), a local area network (LAN), a Storage Area Network (SAN),a Fibre Channel (FC) connection, a Small Computer System Interface(SCSI) connection, a virtual private network (VPN), a token ring orTCP/IP based network, an intranet network, a point-to-point link, acellular network, a wireless data transmission system, a two-way cablesystem, an interactive kiosk network, a satellite network, a broadbandnetwork, a baseband network, a neural network, a mesh network, an ad hocnetwork, other appropriate computer or telecommunications networks,combinations of the same or the like. Communication pathways 114 in somecases may also include application programming interfaces (APIs)including, e.g., cloud service provider APIs, virtual machine managementAPIs, and hosted service provider APIs. The underlying infrastructure ofcommunication pathways 114 may be wired and/or wireless, analog and/ordigital, or any combination thereof; and the facilities used may beprivate, public, third-party provided, or any combination thereof,without limitation.

A “subclient” is a logical grouping of all or part of a client's primarydata 112. In general, a subclient may be defined according to how thesubclient data is to be protected as a unit in system 100. For example,a subclient may be associated with a certain storage policy. A givenclient may thus comprise several subclients, each subclient associatedwith a different storage policy. For example, some files may form afirst subclient that requires compression and deduplication and isassociated with a first storage policy. Other files of the client mayform a second subclient that requires a different retention schedule aswell as encryption, and may be associated with a different, secondstorage policy. As a result, though the primary data may be generated bythe same application 110 and may belong to one given client, portions ofthe data may be assigned to different subclients for distinct treatmentby system 100. More detail on subclients is given in regard to storagepolicies below.

Primary Data and Exemplary Primary Storage Devices

Primary data 112 is generally production data or “live” data generatedby the operating system and/or applications 110 executing on clientcomputing device 102. Primary data 112 is generally stored on primarystorage device(s) 104 and is organized via a file system operating onthe client computing device 102. Thus, client computing device(s) 102and corresponding applications 110 may create, access, modify, write,delete, and otherwise use primary data 112. Primary data 112 isgenerally in the native format of the source application 110. Primarydata 112 is an initial or first stored body of data generated by thesource application 110. Primary data 112 in some cases is createdsubstantially directly from data generated by the corresponding sourceapplication 110. It can be useful in performing certain tasks toorganize primary data 112 into units of different granularities. Ingeneral, primary data 112 can include files, directories, file systemvolumes, data blocks, extents, or any other hierarchies or organizationsof data objects. As used herein, a “data object” can refer to (i) anyfile that is currently addressable by a file system or that waspreviously addressable by the file system (e.g., an archive file),and/or to (ii) a subset of such a file (e.g., a data block, an extent,etc.). Primary data 112 may include structured data (e.g., databasefiles), unstructured data (e.g., documents), and/or semi-structureddata. See, e.g., FIG. 1B.

It can also be useful in performing certain functions of system 100 toaccess and modify metadata within primary data 112. Metadata generallyincludes information about data objects and/or characteristicsassociated with the data objects. For simplicity herein, it is to beunderstood that, unless expressly stated otherwise, any reference toprimary data 112 generally also includes its associated metadata, butreferences to metadata generally do not include the primary data.Metadata can include, without limitation, one or more of the following:the data owner (e.g., the client or user that generates the data), thelast modified time (e.g., the time of the most recent modification ofthe data object), a data object name (e.g., a file name), a data objectsize (e.g., a number of bytes of data), information about the content(e.g., an indication as to the existence of a particular search term),user-supplied tags, to/from information for email (e.g., an emailsender, recipient, etc.), creation date, file type (e.g., format orapplication type), last accessed time, application type (e.g., type ofapplication that generated the data object), location/network (e.g., acurrent, past or future location of the data object and network pathwaysto/from the data object), geographic location (e.g., GPS coordinates),frequency of change (e.g., a period in which the data object ismodified), business unit (e.g., a group or department that generates,manages or is otherwise associated with the data object), aginginformation (e.g., a schedule, such as a time period, in which the dataobject is migrated to secondary or long term storage), boot sectors,partition layouts, file location within a file folder directorystructure, user permissions, owners, groups, access control lists(ACLs), system metadata (e.g., registry information), combinations ofthe same or other similar information related to the data object. Inaddition to metadata generated by or related to file systems andoperating systems, some applications 110 and/or other components ofsystem 100 maintain indices of metadata for data objects, e.g., metadataassociated with individual email messages. The use of metadata toperform classification and other functions is described in greaterdetail below.

Primary storage devices 104 storing primary data 112 may be relativelyfast and/or expensive technology (e.g., flash storage, a disk drive, ahard-disk storage array, solid state memory, etc.), typically to supporthigh-performance live production environments. Primary data 112 may behighly changeable and/or may be intended for relatively short termretention (e.g., hours, days, or weeks). According to some embodiments,client computing device 102 can access primary data 112 stored inprimary storage device 104 by making conventional file system calls viathe operating system. Each client computing device 102 is generallyassociated with and/or in communication with one or more primary storagedevices 104 storing corresponding primary data 112. A client computingdevice 102 is said to be associated with or in communication with aparticular primary storage device 104 if it is capable of one or moreof: routing and/or storing data (e.g., primary data 112) to the primarystorage device 104, coordinating the routing and/or storing of data tothe primary storage device 104, retrieving data from the primary storagedevice 104, coordinating the retrieval of data from the primary storagedevice 104, and modifying and/or deleting data in the primary storagedevice 104. Thus, a client computing device 102 may be said to accessdata stored in an associated storage device 104.

Primary storage device 104 may be dedicated or shared. In some cases,each primary storage device 104 is dedicated to an associated clientcomputing device 102, e.g., a local disk drive. In other cases, one ormore primary storage devices 104 can be shared by multiple clientcomputing devices 102, e.g., via a local network, in a cloud storageimplementation, etc. As one example, primary storage device 104 can be astorage array shared by a group of client computing devices 102, such asEMC Clariion, EMC Symmetrix, EMC Celerra, Dell EqualLogic, IBM XIV,NetApp FAS, HP EVA, and HP 3PAR.

System 100 may also include hosted services (not shown), which may behosted in some cases by an entity other than the organization thatemploys the other components of system 100. For instance, the hostedservices may be provided by online service providers. Such serviceproviders can provide social networking services, hosted email services,or hosted productivity applications or other hosted applications such assoftware-as-a-service (SaaS), platform-as-a-service (PaaS), applicationservice providers (ASPs), cloud services, or other mechanisms fordelivering functionality via a network. As it services users, eachhosted service may generate additional data and metadata, which may bemanaged by system 100, e.g., as primary data 112. In some cases, thehosted services may be accessed using one of the applications 110. As anexample, a hosted mail service may be accessed via browser running on aclient computing device 102.

Secondary Copies and Exemplary Secondary Storage Devices

Primary data 112 stored on primary storage devices 104 may becompromised in some cases, such as when an employee deliberately oraccidentally deletes or overwrites primary data 112. Or primary storagedevices 104 can be damaged, lost, or otherwise corrupted. For recoveryand/or regulatory compliance purposes, it is therefore useful togenerate and maintain copies of primary data 112. Accordingly, system100 includes one or more secondary storage computing devices 106 and oneor more secondary storage devices 108 configured to create and store oneor more secondary copies 116 of primary data 112 including itsassociated metadata. The secondary storage computing devices 106 and thesecondary storage devices 108 may be referred to as secondary storagesubsystem 118.

Secondary copies 116 can help in search and analysis efforts and meetother information management goals as well, such as: restoring dataand/or metadata if an original version is lost (e.g., by deletion,corruption, or disaster); allowing point-in-time recovery; complyingwith regulatory data retention and electronic discovery (e-discovery)requirements; reducing utilized storage capacity in the productionsystem and/or in secondary storage; facilitating organization and searchof data; improving user access to data files across multiple computingdevices and/or hosted services; and implementing data retention andpruning policies.

A secondary copy 116 can comprise a separate stored copy of data that isderived from one or more earlier-created stored copies (e.g., derivedfrom primary data 112 or from another secondary copy 116). Secondarycopies 116 can include point-in-time data and may be intended forrelatively long-term retention before some or all of the data is movedto other storage or discarded. In some cases, a secondary copy 116 maybe in a different storage device than other previously stored copies;and/or may be remote from other previously stored copies. Secondarycopies 116 can be stored in the same storage device as primary data 112.For example, a disk array capable of performing hardware snapshotsstores primary data 112 and creates and stores hardware snapshots of theprimary data 112 as secondary copies 116. Secondary copies 116 may bestored in relatively slow and/or lower cost storage (e.g., magnetictape). A secondary copy 116 may be stored in a backup or archive format,or in some other format different from the native source applicationformat or other format of primary data 112.

Secondary storage computing devices 106 may index secondary copies 116(e.g., using a media agent 144), enabling users to browse and restore ata later time and further enabling the lifecycle management of theindexed data. After creation of a secondary copy 116 that representscertain primary data 112, a pointer or other location indicia (e.g., astub) may be placed in primary data 112, or be otherwise associated withprimary data 112, to indicate the current location of a particularsecondary copy 116. Since an instance of a data object or metadata inprimary data 112 may change over time as it is modified by application110 (or hosted service or the operating system), system 100 may createand manage multiple secondary copies 116 of a particular data object ormetadata, each copy representing the state of the data object in primarydata 112 at a particular point in time. Moreover, since an instance of adata object in primary data 112 may eventually be deleted from primarystorage device 104 and the file system, system 100 may continue tomanage point-in-time representations of that data object, even thoughthe instance in primary data 112 no longer exists. For virtual machines,the operating system and other applications 110 of client computingdevice(s) 102 may execute within or under the management ofvirtualization software (e.g., a VMM), and the primary storage device(s)104 may comprise a virtual disk created on a physical storage device.System 100 may create secondary copies 116 of the files or other dataobjects in a virtual disk file and/or secondary copies 116 of the entirevirtual disk file itself (e.g., of an entire .vmdk file).

Secondary copies 116 are distinguishable from corresponding primary data112. First, secondary copies 116 can be stored in a different formatfrom primary data 112 (e.g., backup, archive, or another non-nativeformat). For this or other reasons, secondary copies 116 may not bedirectly usable by applications 110 or client computing device 102(e.g., via standard system calls or otherwise) without modification,processing, or other intervention by system 100 which may be referred toas “restore” operations. Secondary copies 116 may have been processed bydata agent 142 and/or media agent 144 in the course of being created(e.g., compression, deduplication, encryption, integrity markers,indexing, formatting, application-aware metadata, etc.), and thussecondary copy 116 may represent source primary data 112 withoutnecessarily being exactly identical to the source.

Second, secondary copies 116 may be stored on a secondary storage device108 that is inaccessible to application 110 running on client computingdevice 102 and/or hosted service. Some secondary copies 116 may be“offline copies,” in that they are not readily available (e.g., notmounted to tape or disk). Offline copies can include copies of data thatsystem 100 can access without human intervention (e.g., tapes within anautomated tape library, but not yet mounted in a drive), and copies thatthe system 100 can access only with some human intervention (e.g., tapeslocated at an offsite storage site).

Using Intermediate Devices for Creating Secondary Copies—SecondaryStorage Computing Devices

Creating secondary copies can be challenging when hundreds or thousandsof client computing devices 102 continually generate large volumes ofprimary data 112 to be protected. Also, there can be significantoverhead involved in the creation of secondary copies 116. Moreover,specialized programmed intelligence and/or hardware capability isgenerally needed for accessing and interacting with secondary storagedevices 108. Client computing devices 102 may interact directly with asecondary storage device 108 to create secondary copies 116, but in viewof the factors described above, this approach can negatively impact theability of client computing device 102 to serve/service application 110and produce primary data 112. Further, any given client computing device102 may not be optimized for interaction with certain secondary storagedevices 108.

Thus, system 100 may include one or more software and/or hardwarecomponents which generally act as intermediaries between clientcomputing devices 102 (that generate primary data 112) and secondarystorage devices 108 (that store secondary copies 116). In addition tooff-loading certain responsibilities from client computing devices 102,these intermediate components provide other benefits. For instance, asdiscussed further below with respect to FIG. 1D, distributing some ofthe work involved in creating secondary copies 116 can enhancescalability and improve system performance. For instance, usingspecialized secondary storage computing devices 106 and media agents 144for interfacing with secondary storage devices 108 and/or for performingcertain data processing operations can greatly improve the speed withwhich system 100 performs information management operations and can alsoimprove the capacity of the system to handle large numbers of suchoperations, while reducing the computational load on the productionenvironment of client computing devices 102. The intermediate componentscan include one or more secondary storage computing devices 106 as shownin FIG. 1A and/or one or more media agents 144. Media agents arediscussed further below (e.g., with respect to FIGS. 1C-1E). Thesespecial-purpose components of system 100 comprise specialized programmedintelligence and/or hardware capability for writing to, reading from,instructing, communicating with, or otherwise interacting with secondarystorage devices 108.

Secondary storage computing device(s) 106 can comprise any of thecomputing devices described above, without limitation. In some cases,secondary storage computing device(s) 106 also include specializedhardware componentry and/or software intelligence (e.g., specializedinterfaces) for interacting with certain secondary storage device(s) 108with which they may be specially associated.

To create a secondary copy 116 involving the copying of data fromprimary storage subsystem 117 to secondary storage subsystem 118, clientcomputing device 102 may communicate the primary data 112 to be copied(or a processed version thereof generated by a data agent 142) to thedesignated secondary storage computing device 106, via a communicationpathway 114. Secondary storage computing device 106 in turn may furtherprocess and convey the data or a processed version thereof to secondarystorage device 108. One or more secondary copies 116 may be created fromexisting secondary copies 116, such as in the case of an auxiliary copyoperation, described further below.

Exemplary Primary Data and an Exemplary Secondary Copy

FIG. 16 is a detailed view of some specific examples of primary datastored on primary storage device(s) 104 and secondary copy data storedon secondary storage device(s) 108, with other components of the systemremoved for the purposes of illustration. Stored on primary storagedevice(s) 104 are primary data 112 objects including word processingdocuments 119A-B, spreadsheets 120, presentation documents 122, videofiles 124, image files 126, email mailboxes 128 (and corresponding emailmessages 129A-C), HTML/XML or other types of markup language files 130,databases 132 and corresponding tables or other data structures133A-133C. Some or all primary data 112 objects are associated withcorresponding metadata (e.g., “Meta1-11”), which may include file systemmetadata and/or application-specific metadata. Stored on the secondarystorage device(s) 108 are secondary copy 116 data objects 134A-C whichmay include copies of or may otherwise represent corresponding primarydata 112.

Secondary copy data objects 134A-C can individually represent more thanone primary data object. For example, secondary copy data object 134Arepresents three separate primary data objects 133C, 122, and 129C(represented as 133C′, 122′, and 129C′, respectively, and accompanied bycorresponding metadata Meta11, Meta3, and Meta8, respectively).Moreover, as indicated by the prime mark (′), secondary storagecomputing devices 106 or other components in secondary storage subsystem118 may process the data received from primary storage subsystem 117 andstore a secondary copy including a transformed and/or supplementedrepresentation of a primary data object and/or metadata that isdifferent from the original format, e.g., in a compressed, encrypted,deduplicated, or other modified format. For instance, secondary storagecomputing devices 106 can generate new metadata or other informationbased on said processing and store the newly generated information alongwith the secondary copies. Secondary copy data object 1346 representsprimary data objects 120, 1336, and 119A as 120′, 1336′, and 119A′,respectively, accompanied by corresponding metadata Meta2, Meta10, andMeta1, respectively. Also, secondary copy data object 134C representsprimary data objects 133A, 1196, and 129A as 133A′, 1196′, and 129A′,respectively, accompanied by corresponding metadata Meta9, Meta5, andMeta6, respectively.

Exemplary Information Management System Architecture

System 100 can incorporate a variety of different hardware and softwarecomponents, which can in turn be organized with respect to one anotherin many different configurations, depending on the embodiment. There arecritical design choices involved in specifying the functionalresponsibilities of the components and the role of each component insystem 100. Such design choices can impact how system 100 performs andadapts to data growth and other changing circumstances. FIG. 1C shows asystem 100 designed according to these considerations and includes:storage manager 140, one or more data agents 142 executing on clientcomputing device(s) 102 and configured to process primary data 112, andone or more media agents 144 executing on one or more secondary storagecomputing devices 106 for performing tasks involving secondary storagedevices 108.

Storage Manager

Storage manager 140 is a centralized storage and/or information managerthat is configured to perform certain control functions and also tostore certain critical information about system 100—hence storagemanager 140 is said to manage system 100. As noted, the number ofcomponents in system 100 and the amount of data under management can belarge. Managing the components and data is therefore a significant task,which can grow unpredictably as the number of components and data scaleto meet the needs of the organization. For these and other reasons,according to certain embodiments, responsibility for controlling system100, or at least a significant portion of that responsibility, isallocated to storage manager 140. Storage manager 140 can be adaptedindependently according to changing circumstances, without having toreplace or re-design the remainder of the system. Moreover, a computingdevice for hosting and/or operating as storage manager 140 can beselected to best suit the functions and networking needs of storagemanager 140. These and other advantages are described in further detailbelow and with respect to FIG. 1D.

Storage manager 140 may be a software module or other application hostedby a suitable computing device. In some embodiments, storage manager 140is itself a computing device that performs the functions describedherein. Storage manager 140 comprises or operates in conjunction withone or more associated data structures such as a dedicated database(e.g., management database 146), depending on the configuration. Thestorage manager 140 generally initiates, performs, coordinates, and/orcontrols storage and other information management operations performedby system 100, e.g., to protect and control primary data 112 andsecondary copies 116. In general, storage manager 140 is said to managesystem 100, which includes communicating with, instructing, andcontrolling in some circumstances components such as data agents 142 andmedia agents 144, etc.

As shown by the dashed arrowed lines 114 in FIG. 1C, storage manager 140may communicate with, instruct, and/or control some or all elements ofsystem 100, such as data agents 142 and media agents 144. In thismanner, storage manager 140 manages the operation of various hardwareand software components in system 100. In certain embodiments, controlinformation originates from storage manager 140 and status as well asindex reporting is transmitted to storage manager 140 by the managedcomponents, whereas payload data and metadata are generally communicatedbetween data agents 142 and media agents 144 (or otherwise betweenclient computing device(s) 102 and secondary storage computing device(s)106), e.g., at the direction of and under the management of storagemanager 140. Control information can generally include parameters andinstructions for carrying out information management operations, suchas, without limitation, instructions to perform a task associated withan operation, timing information specifying when to initiate a task,data path information specifying what components to communicate with oraccess in carrying out an operation, and the like. In other embodiments,some information management operations are controlled or initiated byother components of system 100 (e.g., by media agents 144 or data agents142), instead of or in combination with storage manager 140.

According to certain embodiments, storage manager 140 provides one ormore of the following functions:

-   -   communicating with data agents 142 and media agents 144,        including transmitting instructions, messages, and/or queries,        as well as receiving status reports, index information,        messages, and/or queries, and responding to same;    -   initiating execution of information management operations;    -   initiating restore and recovery operations;    -   managing secondary storage devices 108 and inventory/capacity of        the same;    -   allocating secondary storage devices 108 for secondary copy        operations;    -   reporting, searching, and/or classification of data in system        100;    -   monitoring completion of and status reporting related to        information management operations and jobs;    -   tracking movement of data within system 100;    -   tracking age information relating to secondary copies 116,        secondary storage devices 108, comparing the age information        against retention guidelines, and initiating data pruning when        appropriate;    -   tracking logical associations between components in system 100;    -   protecting metadata associated with system 100, e.g., in        management database 146;    -   implementing job management, schedule management, event        management, alert management, reporting, job history        maintenance, user security management, disaster recovery        management, and/or user interfacing for system administrators        and/or end users of system 100;    -   sending, searching, and/or viewing of log files; and    -   implementing operations management functionality.

Storage manager 140 may maintain an associated database 146 (or “storagemanager database 146” or “management database 146”) ofmanagement-related data and information management policies 148.Database 146 is stored in computer memory accessible by storage manager140. Database 146 may include a management index 150 (or “index 150”) orother data structure(s) that may store: logical associations betweencomponents of the system; user preferences and/or profiles (e.g.,preferences regarding encryption, compression, or deduplication ofprimary data or secondary copies; preferences regarding the scheduling,type, or other aspects of secondary copy or other operations; mappingsof particular information management users or user accounts to certaincomputing devices or other components, etc.; management tasks; mediacontainerization; other useful data; and/or any combination thereof. Forexample, storage manager 140 may use index 150 to track logicalassociations between media agents 144 and secondary storage devices 108and/or movement of data to/from secondary storage devices 108. Forinstance, index 150 may store data associating a client computing device102 with a particular media agent 144 and/or secondary storage device108, as specified in an information management policy 148.

Administrators and others may configure and initiate certain informationmanagement operations on an individual basis. But while this may beacceptable for some recovery operations or other infrequent tasks, it isoften not workable for implementing on-going organization-wide dataprotection and management. Thus, system 100 may utilize informationmanagement policies 148 for specifying and executing informationmanagement operations on an automated basis. Generally, an informationmanagement policy 148 can include a stored data structure or otherinformation source that specifies parameters (e.g., criteria and rules)associated with storage management or other information managementoperations. Storage manager 140 can process an information managementpolicy 148 and/or index 150 and, based on the results, identify aninformation management operation to perform, identify the appropriatecomponents in system 100 to be involved in the operation (e.g., clientcomputing devices 102 and corresponding data agents 142, secondarystorage computing devices 106 and corresponding media agents 144, etc.),establish connections to those components and/or between thosecomponents, and/or instruct and control those components to carry outthe operation. In this manner, system 100 can translate storedinformation into coordinated activity among the various computingdevices in system 100.

Management database 146 may maintain information management policies 148and associated data, although information management policies 148 can bestored in computer memory at any appropriate location outside managementdatabase 146. For instance, an information management policy 148 such asa storage policy may be stored as metadata in a media agent database 152or in a secondary storage device 108 (e.g., as an archive copy) for usein restore or other information management operations, depending on theembodiment. Information management policies 148 are described furtherbelow. According to certain embodiments, management database 146comprises a relational database (e.g., an SQL database) for trackingmetadata, such as metadata associated with secondary copy operations(e.g., what client computing devices 102 and corresponding subclientdata were protected and where the secondary copies are stored and whichmedia agent 144 performed the storage operation(s)). This and othermetadata may additionally be stored in other locations, such as atsecondary storage computing device 106 or on the secondary storagedevice 108, allowing data recovery without the use of storage manager140 in some cases. Thus, management database 146 may comprise dataneeded to kick off secondary copy operations (e.g., storage policies,schedule policies, etc.), status and reporting information aboutcompleted jobs (e.g., status and error reports on yesterday's backupjobs), and additional information sufficient to enable restore anddisaster recovery operations (e.g., media agent associations, locationindexing, content indexing, etc.).

Storage manager 140 may include a jobs agent 156, a user interface 158,and a management agent 154, all of which may be implemented asinterconnected software modules or application programs. These aredescribed further below.

Jobs agent 156 in some embodiments initiates, controls, and/or monitorsthe status of some or all information management operations previouslyperformed, currently being performed, or scheduled to be performed bysystem 100. A job is a logical grouping of information managementoperations such as daily storage operations scheduled for a certain setof subclients (e.g., generating incremental block-level backup copies116 at a certain time every day for database files in a certaingeographical location). Thus, jobs agent 156 may access informationmanagement policies 148 (e.g., in management database 146) to determinewhen, where, and how to initiate/control jobs in system 100.

Storage Manager User Interfaces

User interface 158 may include information processing and displaysoftware, such as a graphical user interface (GUI), an applicationprogram interface (API), and/or other interactive interface(s) throughwhich users and system processes can retrieve information about thestatus of information management operations or issue instructions tostorage manager 140 and other components. Via user interface 158, usersmay issue instructions to the components in system 100 regardingperformance of secondary copy and recovery operations. For example, auser may modify a schedule concerning the number of pending secondarycopy operations. As another example, a user may employ the GUI to viewthe status of pending secondary copy jobs or to monitor the status ofcertain components in system 100 (e.g., the amount of capacity left in astorage device). Storage manager 140 may track information that permitsit to select, designate, or otherwise identify content indices,deduplication databases, or similar databases or resources or data setswithin its information management cell (or another cell) to be searchedin response to certain queries. Such queries may be entered by the userby interacting with user interface 158.

Various embodiments of information management system 100 may beconfigured and/or designed to generate user interface data usable forrendering the various interactive user interfaces described. The userinterface data may be used by system 100 and/or by another system,device, and/or software program (for example, a browser program), torender the interactive user interfaces. The interactive user interfacesmay be displayed on, for example, electronic displays (including, forexample, touch-enabled displays), consoles, etc., whetherdirect-connected to storage manager 140 or communicatively coupledremotely, e.g., via an internet connection. The present disclosuredescribes various embodiments of interactive and dynamic userinterfaces, some of which may be generated by user interface agent 158,and which are the result of significant technological development. Theuser interfaces described herein may provide improved human-computerinteractions, allowing for significant cognitive and ergonomicefficiencies and advantages over previous systems, including reducedmental workloads, improved decision-making, and the like. User interface158 may operate in a single integrated view or console (not shown). Theconsole may support a reporting capability for generating a variety ofreports, which may be tailored to a particular aspect of informationmanagement.

User interfaces are not exclusive to storage manager 140 and in someembodiments a user may access information locally from a computingdevice component of system 100. For example, some information pertainingto installed data agents 142 and associated data streams may beavailable from client computing device 102. Likewise, some informationpertaining to media agents 144 and associated data streams may beavailable from secondary storage computing device 106.

Storage Manager Management Agent

Management agent 154 can provide storage manager 140 with the ability tocommunicate with other components within system 100 and/or with otherinformation management cells via network protocols and applicationprogramming interfaces (APIs) including, e.g., HTTP, HTTPS, FTP, REST,virtualization software APIs, cloud service provider APIs, and hostedservice provider APIs, without limitation. Management agent 154 alsoallows multiple information management cells to communicate with oneanother. For example, system 100 in some cases may be one informationmanagement cell in a network of multiple cells adjacent to one anotheror otherwise logically related, e.g., in a WAN or LAN. With thisarrangement, the cells may communicate with one another throughrespective management agents 154. Inter-cell communications andhierarchy is described in greater detail in e.g., U.S. Pat. No.7,343,453.

Information Management Cell

An “information management cell” (or “storage operation cell” or “cell”)may generally include a logical and/or physical grouping of acombination of hardware and software components associated withperforming information management operations on electronic data,typically one storage manager 140 and at least one data agent 142(executing on a client computing device 102) and at least one mediaagent 144 (executing on a secondary storage computing device 106). Forinstance, the components shown in FIG. 1C may together form aninformation management cell. Thus, in some configurations, a system 100may be referred to as an information management cell or a storageoperation cell. A given cell may be identified by the identity of itsstorage manager 140, which is generally responsible for managing thecell.

Multiple cells may be organized hierarchically, so that cells mayinherit properties from hierarchically superior cells or be controlledby other cells in the hierarchy (automatically or otherwise).Alternatively, in some embodiments, cells may inherit or otherwise beassociated with information management policies, preferences,information management operational parameters, or other properties orcharacteristics according to their relative position in a hierarchy ofcells. Cells may also be organized hierarchically according to function,geography, architectural considerations, or other factors useful ordesirable in performing information management operations. For example,a first cell may represent a geographic segment of an enterprise, suchas a Chicago office, and a second cell may represent a differentgeographic segment, such as a New York City office. Other cells mayrepresent departments within a particular office, e.g., human resources,finance, engineering, etc. Where delineated by function, a first cellmay perform one or more first types of information management operations(e.g., one or more first types of secondary copies at a certainfrequency), and a second cell may perform one or more second types ofinformation management operations (e.g., one or more second types ofsecondary copies at a different frequency and under different retentionrules). In general, the hierarchical information is maintained by one ormore storage managers 140 that manage the respective cells (e.g., incorresponding management database(s) 146).

Data Agents

A variety of different applications 110 can operate on a given clientcomputing device 102, including operating systems, file systems,database applications, e-mail applications, and virtual machines, justto name a few. And, as part of the process of creating and restoringsecondary copies 116, the client computing device 102 may be tasked withprocessing and preparing the primary data 112 generated by these variousapplications 110. Moreover, the nature of the processing/preparation candiffer across application types, e.g., due to inherent structural,state, and formatting differences among applications 110 and/or theoperating system of client computing device 102. Each data agent 142 istherefore advantageously configured in some embodiments to assist in theperformance of information management operations based on the type ofdata that is being protected at a client-specific and/orapplication-specific level.

Data agent 142 is a component of information system 100 and is generallydirected by storage manager 140 to participate in creating or restoringsecondary copies 116. Data agent 142 may be a software program (e.g., inthe form of a set of executable binary files) that executes on the sameclient computing device 102 as the associated application 110 that dataagent 142 is configured to protect. Data agent 142 is generallyresponsible for managing, initiating, or otherwise assisting in theperformance of information management operations in reference to itsassociated application(s) 110 and corresponding primary data 112 whichis generated/accessed by the particular application(s) 110. Forinstance, data agent 142 may take part in copying, archiving, migrating,and/or replicating of certain primary data 112 stored in the primarystorage device(s) 104. Data agent 142 may receive control informationfrom storage manager 140, such as commands to transfer copies of dataobjects and/or metadata to one or more media agents 144. Data agent 142also may compress, deduplicate, and encrypt certain primary data 112, aswell as capture application-related metadata before transmitting theprocessed data to media agent 144. Data agent 142 also may receiveinstructions from storage manager 140 to restore (or assist inrestoring) a secondary copy 116 from secondary storage device 108 toprimary storage 104, such that the restored data may be properlyaccessed by application 110 in a suitable format as though it wereprimary data 112.

Each data agent 142 may be specialized for a particular application 110.For instance, different individual data agents 142 may be designed tohandle Microsoft Exchange data, Lotus Notes data, Microsoft Windows filesystem data, Microsoft Active Directory Objects data, SQL Server data,SharePoint data, Oracle database data, SAP database data, virtualmachines and/or associated data, and other types of data. A file systemdata agent, for example, may handle data files and/or other file systeminformation. If a client computing device 102 has two or more types ofdata 112, a specialized data agent 142 may be used for each data type.For example, to backup, migrate, and/or restore all of the data on aMicrosoft Exchange server, the client computing device 102 may use: (1)a Microsoft Exchange Mailbox data agent 142 to back up the Exchangemailboxes; (2) a Microsoft Exchange Database data agent 142 to back upthe Exchange databases; (3) a Microsoft Exchange Public Folder dataagent 142 to back up the Exchange Public Folders; and (4) a MicrosoftWindows File System data agent 142 to back up the file system of clientcomputing device 102. In this example, these specialized data agents 142are treated as four separate data agents 142 even though they operate onthe same client computing device 102. Other examples may include archivemanagement data agents such as a migration archiver or a compliancearchiver, Quick Recovery® agents, and continuous data replicationagents. Application-specific data agents 142 can provide improvedperformance as compared to generic agents. For instance, becauseapplication-specific data agents 142 may only handle data for a singlesoftware application, the design, operation, and performance of the dataagent 142 can be streamlined. The data agent 142 may therefore executefaster and consume less persistent storage and/or operating memory thandata agents designed to generically accommodate multiple differentsoftware applications 110.

Each data agent 142 may be configured to access data and/or metadatastored in the primary storage device(s) 104 associated with data agent142 and its host client computing device 102 and process the dataappropriately. For example, during a secondary copy operation, dataagent 142 may arrange or assemble the data and metadata into one or morefiles having a certain format (e.g., a particular backup or archiveformat) before transferring the file(s) to a media agent 144 or anothercomponent. The file(s) may include a list of files or other metadata. Insome embodiments, a data agent 142 may be distributed between clientcomputing device 102 and storage manager 140 (and any other intermediatecomponents) or may be deployed from a remote location or its functionsapproximated by a remote process that performs some or all of thefunctions of data agent 142. In addition, a data agent 142 may performsome functions provided by media agent 144. Other embodiments may employone or more generic data agents 142 that can handle and process datafrom two or more different applications 110, or that can handle andprocess multiple data types, instead of or in addition to usingspecialized data agents 142. For example, one generic data agent 142 maybe used to back up, migrate and restore Microsoft Exchange Mailbox dataand Microsoft Exchange Database data, while another generic data agentmay handle Microsoft Exchange Public Folder data and Microsoft WindowsFile System data.

Media Agents

As noted, off-loading certain responsibilities from client computingdevices 102 to intermediate components such as secondary storagecomputing device(s) 106 and corresponding media agent(s) 144 can providea number of benefits including improved performance of client computingdevice 102, faster and more reliable information management operations,and enhanced scalability. In one example which will be discussed furtherbelow, media agent 144 can act as a local cache of recently-copied dataand/or metadata stored to secondary storage device(s) 108, thusimproving restore capabilities and performance for the cached data.

Media agent 144 is a component of system 100 and is generally directedby storage manager 140 in creating and restoring secondary copies 116.Whereas storage manager 140 generally manages system 100 as a whole,media agent 144 provides a portal to certain secondary storage devices108, such as by having specialized features for communicating with andaccessing certain associated secondary storage device 108. Media agent144 may be a software program (e.g., in the form of a set of executablebinary files) that executes on a secondary storage computing device 106.Media agent 144 generally manages, coordinates, and facilitates thetransmission of data between a data agent 142 (executing on clientcomputing device 102) and secondary storage device(s) 108 associatedwith media agent 144. For instance, other components in the system mayinteract with media agent 144 to gain access to data stored onassociated secondary storage device(s) 108, (e.g., to browse, read,write, modify, delete, or restore data). Moreover, media agents 144 cangenerate and store information relating to characteristics of the storeddata and/or metadata, or can generate and store other types ofinformation that generally provides insight into the contents of thesecondary storage devices 108—generally referred to as indexing of thestored secondary copies 116. Each media agent 144 may operate on adedicated secondary storage computing device 106, while in otherembodiments a plurality of media agents 144 may operate on the samesecondary storage computing device 106.

A media agent 144 may be associated with a particular secondary storagedevice 108 if that media agent 144 is capable of one or more of: routingand/or storing data to the particular secondary storage device 108;coordinating the routing and/or storing of data to the particularsecondary storage device 108; retrieving data from the particularsecondary storage device 108; coordinating the retrieval of data fromthe particular secondary storage device 108; and modifying and/ordeleting data retrieved from the particular secondary storage device108. Media agent 144 in certain embodiments is physically separate fromthe associated secondary storage device 108. For instance, a media agent144 may operate on a secondary storage computing device 106 in adistinct housing, package, and/or location from the associated secondarystorage device 108. In one example, a media agent 144 operates on afirst server computer and is in communication with a secondary storagedevice(s) 108 operating in a separate rack-mounted RAID-based system.

A media agent 144 associated with a particular secondary storage device108 may instruct secondary storage device 108 to perform an informationmanagement task. For instance, a media agent 144 may instruct a tapelibrary to use a robotic arm or other retrieval means to load or eject acertain storage media, and to subsequently archive, migrate, or retrievedata to or from that media, e.g., for the purpose of restoring data to aclient computing device 102. As another example, a secondary storagedevice 108 may include an array of hard disk drives or solid statedrives organized in a RAID configuration, and media agent 144 mayforward a logical unit number (LUN) and other appropriate information tothe array, which uses the received information to execute the desiredsecondary copy operation. Media agent 144 may communicate with asecondary storage device 108 via a suitable communications link, such asa SCSI or Fibre Channel link.

Each media agent 144 may maintain an associated media agent database152. Media agent database 152 may be stored to a disk or other storagedevice (not shown) that is local to the secondary storage computingdevice 106 on which media agent 144 executes. In other cases, mediaagent database 152 is stored separately from the host secondary storagecomputing device 106. Media agent database 152 can include, among otherthings, a media agent index 153 (see, e.g., FIG. 1C). In some cases,media agent index 153 does not form a part of and is instead separatefrom media agent database 152.

Media agent index 153 (or “index 153”) may be a data structureassociated with the particular media agent 144 that includes informationabout the stored data associated with the particular media agent andwhich may be generated in the course of performing a secondary copyoperation or a restore. Index 153 provides a fast and efficientmechanism for locating/browsing secondary copies 116 or other datastored in secondary storage devices 108 without having to accesssecondary storage device 108 to retrieve the information from there. Forinstance, for each secondary copy 116, index 153 may include metadatasuch as a list of the data objects (e.g., files/subdirectories, databaseobjects, mailbox objects, etc.), a logical path to the secondary copy116 on the corresponding secondary storage device 108, locationinformation (e.g., offsets) indicating where the data objects are storedin the secondary storage device 108, when the data objects were createdor modified, etc. Thus, index 153 includes metadata associated with thesecondary copies 116 that is readily available for use from media agent144. In some embodiments, some or all of the information in index 153may instead or additionally be stored along with secondary copies 116 insecondary storage device 108. In some embodiments, a secondary storagedevice 108 can include sufficient information to enable a “bare metalrestore,” where the operating system and/or software applications of afailed client computing device 102 or another target may beautomatically restored without manually reinstalling individual softwarepackages (including operating systems).

Because index 153 may operate as a cache, it can also be referred to asan “index cache.” In such cases, information stored in index cache 153typically comprises data that reflects certain particulars aboutrelatively recent secondary copy operations. After some triggeringevent, such as after some time elapses or index cache 153 reaches aparticular size, certain portions of index cache 153 may be copied ormigrated to secondary storage device 108, e.g., on a least-recently-usedbasis. This information may be retrieved and uploaded back into indexcache 153 or otherwise restored to media agent 144 to facilitateretrieval of data from the secondary storage device(s) 108. In someembodiments, the cached information may include format orcontainerization information related to archives or other files storedon storage device(s) 108.

In some alternative embodiments media agent 144 generally acts as acoordinator or facilitator of secondary copy operations between clientcomputing devices 102 and secondary storage devices 108, but does notactually write the data to secondary storage device 108. For instance,storage manager 140 (or media agent 144) may instruct a client computingdevice 102 and secondary storage device 108 to communicate with oneanother directly. In such a case, client computing device 102 transmitsdata directly or via one or more intermediary components to secondarystorage device 108 according to the received instructions, and viceversa. Media agent 144 may still receive, process, and/or maintainmetadata related to the secondary copy operations, i.e., may continue tobuild and maintain index 153. In these embodiments, payload data canflow through media agent 144 for the purposes of populating index 153,but not for writing to secondary storage device 108. Media agent 144and/or other components such as storage manager 140 may in some casesincorporate additional functionality, such as data classification,content indexing, deduplication, encryption, compression, and the like.Further details regarding these and other functions are described below.

Distributed, Scalable Architecture

As described, certain functions of system 100 can be distributed amongstvarious physical and/or logical components. For instance, one or more ofstorage manager 140, data agents 142, and media agents 144 may operateon computing devices that are physically separate from one another. Thisarchitecture can provide a number of benefits. For instance, hardwareand software design choices for each distributed component can betargeted to suit its particular function. The secondary computingdevices 106 on which media agents 144 operate can be tailored forinteraction with associated secondary storage devices 108 and providefast index cache operation, among other specific tasks. Similarly,client computing device(s) 102 can be selected to effectively serviceapplications 110 in order to efficiently produce and store primary data112.

Moreover, in some cases, one or more of the individual components ofinformation management system 100 can be distributed to multipleseparate computing devices. As one example, for large file systems wherethe amount of data stored in management database 146 is relativelylarge, database 146 may be migrated to or may otherwise reside on aspecialized database server (e.g., an SQL server) separate from a serverthat implements the other functions of storage manager 140. Thisdistributed configuration can provide added protection because database146 can be protected with standard database utilities (e.g., SQL logshipping or database replication) independent from other functions ofstorage manager 140. Database 146 can be efficiently replicated to aremote site for use in the event of a disaster or other data loss at theprimary site. Or database 146 can be replicated to another computingdevice within the same site, such as to a higher performance machine inthe event that a storage manager host computing device can no longerservice the needs of a growing system 100.

The distributed architecture also provides scalability and efficientcomponent utilization. FIG. 1D shows an embodiment of informationmanagement system 100 including a plurality of client computing devices102 and associated data agents 142 as well as a plurality of secondarystorage computing devices 106 and associated media agents 144.Additional components can be added or subtracted based on the evolvingneeds of system 100. For instance, depending on where bottlenecks areidentified, administrators can add additional client computing devices102, secondary storage computing devices 106, and/or secondary storagedevices 108. Moreover, where multiple fungible components are available,load balancing can be implemented to dynamically address identifiedbottlenecks. As an example, storage manager 140 may dynamically selectwhich media agents 144 and/or secondary storage devices 108 to use forstorage operations based on a processing load analysis of media agents144 and/or secondary storage devices 108, respectively.

Where system 100 includes multiple media agents 144 (see, e.g., FIG.1D), a first media agent 144 may provide failover functionality for asecond failed media agent 144. In addition, media agents 144 can bedynamically selected to provide load balancing. Each client computingdevice 102 can communicate with, among other components, any of themedia agents 144, e.g., as directed by storage manager 140. And eachmedia agent 144 may communicate with, among other components, any ofsecondary storage devices 108, e.g., as directed by storage manager 140.Thus, operations can be routed to secondary storage devices 108 in adynamic and highly flexible manner, to provide load balancing, failover,etc. Further examples of scalable systems capable of dynamic storageoperations, load balancing, and failover are provided in U.S. Pat. No.7,246,207.

While distributing functionality amongst multiple computing devices canhave certain advantages, in other contexts it can be beneficial toconsolidate functionality on the same computing device. In alternativeconfigurations, certain components may reside and execute on the samecomputing device. As such, in other embodiments, one or more of thecomponents shown in FIG. 1C may be implemented on the same computingdevice. In one configuration, a storage manager 140, one or more dataagents 142, and/or one or more media agents 144 are all implemented onthe same computing device. In other embodiments, one or more data agents142 and one or more media agents 144 are implemented on the samecomputing device, while storage manager 140 is implemented on a separatecomputing device, etc. without limitation.

Exemplary Types of Information Management Operations, Including StorageOperations

In order to protect and leverage stored data, system 100 can beconfigured to perform a variety of information management operations,which may also be referred to in some cases as storage managementoperations or storage operations. These operations can generally include(i) data movement operations, (ii) processing and data manipulationoperations, and (iii) analysis, reporting, and management operations.

Data Movement Operations, Including Secondary Copy Operations

Data movement operations are generally storage operations that involvethe copying or migration of data between different locations in system100. For example, data movement operations can include operations inwhich stored data is copied, migrated, or otherwise transferred from oneor more first storage devices to one or more second storage devices,such as from primary storage device(s) 104 to secondary storagedevice(s) 108, from secondary storage device(s) 108 to differentsecondary storage device(s) 108, from secondary storage devices 108 toprimary storage devices 104, or from primary storage device(s) 104 todifferent primary storage device(s) 104, or in some cases within thesame primary storage device 104 such as within a storage array.

Data movement operations can include by way of example, backupoperations, archive operations, information lifecycle managementoperations such as hierarchical storage management operations,replication operations (e.g., continuous data replication), snapshotoperations, deduplication or single-instancing operations, auxiliarycopy operations, disaster-recovery copy operations, and the like. Aswill be discussed, some of these operations do not necessarily createdistinct copies. Nonetheless, some or all of these operations aregenerally referred to as “secondary copy operations” for simplicity,because they involve secondary copies. Data movement also comprisesrestoring secondary copies.

Backup Operations

A backup operation creates a copy of a version of primary data 112 at aparticular point in time (e.g., one or more files or other data units).Each subsequent backup copy 116 (which is a form of secondary copy 116)may be maintained independently of the first. A backup generallyinvolves maintaining a version of the copied primary data 112 as well asbackup copies 116. Further, a backup copy in some embodiments isgenerally stored in a form that is different from the native format,e.g., a backup format. This contrasts to the version in primary data 112which may instead be stored in a format native to the sourceapplication(s) 110. In various cases, backup copies can be stored in aformat in which the data is compressed, encrypted, deduplicated, and/orotherwise modified from the original native application format. Forexample, a backup copy may be stored in a compressed backup format thatfacilitates efficient long-term storage. Backup copies 116 can haverelatively long retention periods as compared to primary data 112, whichis generally highly changeable. Backup copies 116 may be stored on mediawith slower retrieval times than primary storage device 104. Some backupcopies may have shorter retention periods than some other types ofsecondary copies 116, such as archive copies (described below). Backupsmay be stored at an offsite location.

Backup operations can include full backups, differential backups,incremental backups, “synthetic full” backups, and/or creating a“reference copy.” A full backup (or “standard full backup”) in someembodiments is generally a complete image of the data to be protected.However, because full backup copies can consume a relatively largeamount of storage, it can be useful to use a full backup copy as abaseline and only store changes relative to the full backup copyafterwards.

A differential backup operation (or cumulative incremental backupoperation) tracks and stores changes that occurred since the last fullbackup. Differential backups can grow quickly in size, but can restorerelatively efficiently because a restore can be completed in some casesusing only the full backup copy and the latest differential copy.

An incremental backup operation generally tracks and stores changessince the most recent backup copy of any type, which can greatly reducestorage utilization. In some cases, however, restoring can be lengthycompared to full or differential backups because completing a restoreoperation may involve accessing a full backup in addition to multipleincremental backups.

Synthetic full backups generally consolidate data without directlybacking up data from the client computing device. A synthetic fullbackup is created from the most recent full backup (i.e., standard orsynthetic) and subsequent incremental and/or differential backups. Theresulting synthetic full backup is identical to what would have beencreated had the last backup for the subclient been a standard fullbackup. Unlike standard full, incremental, and differential backups,however, a synthetic full backup does not actually transfer data fromprimary storage to the backup media, because it operates as a backupconsolidator. A synthetic full backup extracts the index data of eachparticipating subclient. Using this index data and the previously backedup user data images, it builds new full backup images (e.g., bitmaps),one for each subclient. The new backup images consolidate the index anduser data stored in the related incremental, differential, and previousfull backups into a synthetic backup file that fully represents thesubclient (e.g., via pointers) but does not comprise all its constituentdata.

Any of the above types of backup operations can be at the volume level,file level, or block level. Volume level backup operations generallyinvolve copying of a data volume (e.g., a logical disk or partition) asa whole. In a file-level backup, information management system 100generally tracks changes to individual files and includes copies offiles in the backup copy. For block-level backups, files are broken intoconstituent blocks, and changes are tracked at the block level. Uponrestore, system 100 reassembles the blocks into files in a transparentfashion. Far less data may actually be transferred and copied tosecondary storage devices 108 during a file-level copy than avolume-level copy. Likewise, a block-level copy may transfer less datathan a file-level copy, resulting in faster execution. However,restoring a relatively higher-granularity copy can result in longerrestore times. For instance, when restoring a block-level copy, theprocess of locating and retrieving constituent blocks can sometimes takelonger than restoring file-level backups.

A reference copy may comprise copy(ies) of selected objects from backedup data, typically to help organize data by keeping contextualinformation from multiple sources together, and/or help retain specificdata for a longer period of time, such as for legal hold needs. Areference copy generally maintains data integrity, and when the data isrestored, it may be viewed in the same format as the source data. Insome embodiments, a reference copy is based on a specialized client,individual subclient and associated information management policies(e.g., storage policy, retention policy, etc.) that are administeredwithin system 100.

Archive Operations

Because backup operations generally involve maintaining a version of thecopied primary data 112 and also maintaining backup copies in secondarystorage device(s) 108, they can consume significant storage capacity. Toreduce storage consumption, an archive operation according to certainembodiments creates an archive copy 116 by both copying and removingsource data. Or, seen another way, archive operations can involve movingsome or all of the source data to the archive destination. Thus, datasatisfying criteria for removal (e.g., data of a threshold age or size)may be removed from source storage. The source data may be primary data112 or a secondary copy 116, depending on the situation. As with backupcopies, archive copies can be stored in a format in which the data iscompressed, encrypted, deduplicated, and/or otherwise modified from theformat of the original application or source copy. In addition, archivecopies may be retained for relatively long periods of time (e.g., years)and, in some cases are never deleted. In certain embodiments, archivecopies may be made and kept for extended periods in order to meetcompliance regulations.

Archiving can also serve the purpose of freeing up space in primarystorage device(s) 104 and easing the demand on computational resourceson client computing device 102. Similarly, when a secondary copy 116 isarchived, the archive copy can therefore serve the purpose of freeing upspace in the source secondary storage device(s) 108. Examples of dataarchiving operations are provided in U.S. Pat. No. 7,107,298.

Snapshot Operations

Snapshot operations can provide a relatively lightweight, efficientmechanism for protecting data. From an end-user viewpoint, a snapshotmay be thought of as an “instant” image of primary data 112 at a givenpoint in time and may include state and/or status information relativeto an application 110 that creates/manages primary data 112. In oneembodiment, a snapshot may generally capture the directory structure ofan object in primary data 112 such as a file or volume or other data setat a particular moment in time and may also preserve file attributes andcontents. A snapshot in some cases is created relatively quickly, e.g.,substantially instantly, using a minimum amount of file space, but maystill function as a conventional file system backup.

A “hardware snapshot” (or “hardware-based snapshot”) operation occurswhere a target storage device (e.g., a primary storage device 104 or asecondary storage device 108) performs the snapshot operation in aself-contained fashion, substantially independently, using hardware,firmware and/or software operating on the storage device itself. Forinstance, the storage device may perform snapshot operations generallywithout intervention or oversight from any of the other components ofthe system 100, e.g., a storage array may generate an “array-created”hardware snapshot and may also manage its storage, integrity,versioning, etc. In this manner, hardware snapshots can off-load othercomponents of system 100 from snapshot processing. An array may receivea request from another component to take a snapshot and then proceed toexecute the “hardware snapshot” operations autonomously, preferablyreporting success to the requesting component.

A “software snapshot” (or “software-based snapshot”) operation, on theother hand, occurs where a component in system 100 (e.g., clientcomputing device 102, etc.) implements a software layer that manages thesnapshot operation via interaction with the target storage device. Forinstance, the component executing the snapshot management software layermay derive a set of pointers and/or data that represents the snapshot.The snapshot management software layer may then transmit the same to thetarget storage device, along with appropriate instructions for writingthe snapshot. One example of a software snapshot product is MicrosoftVolume Snapshot Service (VSS), which is part of the Microsoft Windowsoperating system.

Some types of snapshots do not actually create another physical copy ofall the data as it existed at the particular point in time, but maysimply create pointers that map files and directories to specific memorylocations (e.g., to specific disk blocks) where the data resides as itexisted at the particular point in time. For example, a snapshot copymay include a set of pointers derived from the file system or from anapplication. In some other cases, the snapshot may be created at theblock-level, such that creation of the snapshot occurs without awarenessof the file system. Each pointer points to a respective stored datablock, so that collectively, the set of pointers reflect the storagelocation and state of the data object (e.g., file(s) or volume(s) ordata set(s)) at the point in time when the snapshot copy was created.

An initial snapshot may use only a small amount of disk space needed torecord a mapping or other data structure representing or otherwisetracking the blocks that correspond to the current state of the filesystem. Additional disk space is usually required only when files anddirectories change later on. Furthermore, when files change, typicallyonly the pointers which map to blocks are copied, not the blocksthemselves. For example, for “copy-on-write” snapshots, when a blockchanges in primary storage, the block is copied to secondary storage orcached in primary storage before the block is overwritten in primarystorage, and the pointer to that block is changed to reflect the newlocation of that block. The snapshot mapping of file system data mayalso be updated to reflect the changed block(s) at that particular pointin time. In some other cases, a snapshot includes a full physical copyof all or substantially all of the data represented by the snapshot.Further examples of snapshot operations are provided in U.S. Pat. No.7,529,782. A snapshot copy in many cases can be made quickly and withoutsignificantly impacting primary computing resources because largeamounts of data need not be copied or moved. In some embodiments, asnapshot may exist as a virtual file system, parallel to the actual filesystem. Users in some cases gain read-only access to the record of filesand directories of the snapshot. By electing to restore primary data 112from a snapshot taken at a given point in time, users may also returnthe current file system to the state of the file system that existedwhen the snapshot was taken.

Replication Operations

Replication is another type of secondary copy operation. Some types ofsecondary copies 116 periodically capture images of primary data 112 atparticular points in time (e.g., backups, archives, and snapshots).However, it can also be useful for recovery purposes to protect primarydata 112 in a more continuous fashion, by replicating primary data 112substantially as changes occur. In some cases, a replication copy can bea mirror copy, for instance, where changes made to primary data 112 aremirrored or substantially immediately copied to another location (e.g.,to secondary storage device(s) 108). By copying each write operation tothe replication copy, two storage systems are kept synchronized orsubstantially synchronized so that they are virtually identical atapproximately the same time. Where entire disk volumes are mirrored,however, mirroring can require significant amount of storage space andutilizes a large amount of processing resources.

According to some embodiments, secondary copy operations are performedon replicated data that represents a recoverable state, or “known goodstate” of a particular application running on the source system. Forinstance, in certain embodiments, known good replication copies may beviewed as copies of primary data 112. This feature allows the system todirectly access, copy, restore, back up, or otherwise manipulate thereplication copies as if they were the “live” primary data 112. This canreduce access time, storage utilization, and impact on sourceapplications 110, among other benefits. Based on known good stateinformation, system 100 can replicate sections of application data thatrepresent a recoverable state rather than rote copying of blocks ofdata. Examples of replication operations (e.g., continuous datareplication) are provided in U.S. Pat. No. 7,617,262.

Deduplication/Single-Instancing Operations

Deduplication or single-instance storage is useful to reduce the amountof non-primary data. For instance, some or all of the above-describedsecondary copy operations can involve deduplication in some fashion. Newdata is read, broken down into data portions of a selected granularity(e.g., sub-file level blocks, files, etc.), compared with correspondingportions that are already in secondary storage, and only new/changedportions are stored. Portions that already exist are represented aspointers to the already-stored data. Thus, a deduplicated secondary copy116 may comprise actual data portions copied from primary data 112 andmay further comprise pointers to already-stored data, which is generallymore storage-efficient than a full copy.

In order to streamline the comparison process, system 100 may calculateand/or store signatures (e.g., hashes or cryptographically unique IDs)corresponding to the individual source data portions and compare thesignatures to already-stored data signatures, instead of comparingentire data portions. In some cases, only a single instance of each dataportion is stored, and deduplication operations may therefore bereferred to interchangeably as “single-instancing” operations. Dependingon the implementation, however, deduplication operations can store morethan one instance of certain data portions, yet still significantlyreduce stored-data redundancy. Depending on the embodiment,deduplication portions such as data blocks can be of fixed or variablelength. Using variable length blocks can enhance deduplication byresponding to changes in the data stream, but can involve more complexprocessing. In some cases, system 100 utilizes a technique fordynamically aligning deduplication blocks based on changing content inthe data stream, as described in U.S. Pat. No. 8,364,652.

System 100 can deduplicate in a variety of manners at a variety oflocations. For instance, in some embodiments, system 100 implements“target-side” deduplication by deduplicating data at the media agent 144after being received from data agent 142. In some such cases, mediaagents 144 are generally configured to manage the deduplication process.For instance, one or more of the media agents 144 maintain acorresponding deduplication database that stores deduplicationinformation (e.g., data block signatures). Examples of such aconfiguration are provided in U.S. Pat. No. 9,020,900. Instead of or incombination with “target-side” deduplication, “source-side” (or“client-side”) deduplication can also be performed, e.g., to reduce theamount of data to be transmitted by data agent 142 to media agent 144.Storage manager 140 may communicate with other components within system100 via network protocols and cloud service provider APIs to facilitatecloud-based deduplication/single instancing, as exemplified in U.S. Pat.No. 8,954,446. Some other deduplication/single instancing techniques aredescribed in U.S. Pat. Pub. No. 2006/0224846 and in U.S. Pat. No.9,098,495.

Information Lifecycle Management and Hierarchical Storage Management

In some embodiments, files and other data over their lifetime move frommore expensive quick-access storage to less expensive slower-accessstorage. Operations associated with moving data through various tiers ofstorage are sometimes referred to as information lifecycle management(ILM) operations.

One type of ILM operation is a hierarchical storage management (HSM)operation, which generally automatically moves data between classes ofstorage devices, such as from high-cost to low-cost storage devices. Forinstance, an HSM operation may involve movement of data from primarystorage devices 104 to secondary storage devices 108, or between tiersof secondary storage devices 108. With each tier, the storage devicesmay be progressively cheaper, have relatively slower access/restoretimes, etc. For example, movement of data between tiers may occur asdata becomes less important over time. In some embodiments, an HSMoperation is similar to archiving in that creating an HSM copy may(though not always) involve deleting some of the source data, e.g.,according to one or more criteria related to the source data. Forexample, an HSM copy may include primary data 112 or a secondary copy116 that exceeds a given size threshold or a given age threshold. Often,and unlike some types of archive copies, HSM data that is removed oraged from the source is replaced by a logical reference pointer or stub.The reference pointer or stub can be stored in the primary storagedevice 104 or other source storage device, such as a secondary storagedevice 108 to replace the deleted source data and to point to orotherwise indicate the new location in (another) secondary storagedevice 108.

For example, files are generally moved between higher and lower coststorage depending on how often the files are accessed. When a userrequests access to HSM data that has been removed or migrated, system100 uses the stub to locate the data and can make recovery of the dataappear transparent, even though the HSM data may be stored at a locationdifferent from other source data. In this manner, the data appears tothe user (e.g., in file system browsing windows and the like) as if itstill resides in the source location (e.g., in a primary storage device104). The stub may include metadata associated with the correspondingdata, so that a file system and/or application can provide someinformation about the data object and/or a limited-functionality version(e.g., a preview) of the data object.

An HSM copy may be stored in a format other than the native applicationformat (e.g., compressed, encrypted, deduplicated, and/or otherwisemodified). In some cases, copies which involve the removal of data fromsource storage and the maintenance of stub or other logical referenceinformation on source storage may be referred to generally as “onlinearchive copies.” On the other hand, copies which involve the removal ofdata from source storage without the maintenance of stub or otherlogical reference information on source storage may be referred to as“off-line archive copies.” Examples of HSM and ILM techniques areprovided in U.S. Pat. No. 7,343,453.

Auxiliary Copy Operations

An auxiliary copy is generally a copy of an existing secondary copy 116.For instance, an initial secondary copy 116 may be derived from primarydata 112 or from data residing in secondary storage subsystem 118,whereas an auxiliary copy is generated from the initial secondary copy116. Auxiliary copies provide additional standby copies of data and mayreside on different secondary storage devices 108 than the initialsecondary copies 116. Thus, auxiliary copies can be used for recoverypurposes if initial secondary copies 116 become unavailable. Exemplaryauxiliary copy techniques are described in further detail in U.S. Pat.No. 8,230,195.

Disaster-Recovery Copy Operations

System 100 may also make and retain disaster recovery copies, often assecondary, high-availability disk copies. System 100 may createsecondary copies and store them at disaster recovery locations usingauxiliary copy or replication operations, such as continuous datareplication technologies. Depending on the particular data protectiongoals, disaster recovery locations can be remote from the clientcomputing devices 102 and primary storage devices 104, remote from someor all of the secondary storage devices 108, or both.

Data Manipulation, Including Encryption and Compression

Data manipulation and processing may include encryption and compressionas well as integrity marking and checking, formatting for transmission,formatting for storage, etc. Data may be manipulated “client-side” bydata agent 142 as well as “target-side” by media agent 144 in the courseof creating secondary copy 116, or conversely in the course of restoringdata from secondary to primary.

Encryption Operations

System 100 in some cases is configured to process data (e.g., files orother data objects, primary data 112, secondary copies 116, etc.),according to an appropriate encryption algorithm (e.g., Blowfish,Advanced Encryption Standard (AES), Triple Data Encryption Standard(3-DES), etc.) to limit access and provide data security. System 100 insome cases encrypts the data at the client level, such that clientcomputing devices 102 (e.g., data agents 142) encrypt the data prior totransferring it to other components, e.g., before sending the data tomedia agents 144 during a secondary copy operation. In such cases,client computing device 102 may maintain or have access to an encryptionkey or passphrase for decrypting the data upon restore. Encryption canalso occur when media agent 144 creates auxiliary copies or archivecopies. Encryption may be applied in creating a secondary copy 116 of apreviously unencrypted secondary copy 116, without limitation. Infurther embodiments, secondary storage devices 108 can implementbuilt-in, high performance hardware-based encryption.

Compression Operations

Similar to encryption, system 100 may also or alternatively compressdata in the course of generating a secondary copy 116. Compressionencodes information such that fewer bits are needed to represent theinformation as compared to the original representation. Compressiontechniques are well known in the art. Compression operations may applyone or more data compression algorithms. Compression may be applied increating a secondary copy 116 of a previously uncompressed secondarycopy, e.g., when making archive copies or disaster recovery copies. Theuse of compression may result in metadata that specifies the nature ofthe compression, so that data may be uncompressed on restore ifappropriate.

Data Analysis, Reporting, and Management Operations

Data analysis, reporting, and management operations can differ from datamovement operations in that they do not necessarily involve copying,migration or other transfer of data between different locations in thesystem. For instance, data analysis operations may involve processing(e.g., offline processing) or modification of already stored primarydata 112 and/or secondary copies 116. However, in some embodiments dataanalysis operations are performed in conjunction with data movementoperations. Some data analysis operations include content indexingoperations and classification operations which can be useful inleveraging data under management to enhance search and other features.

Classification Operations/Content Indexing

In some embodiments, information management system 100 analyzes andindexes characteristics, content, and metadata associated with primarydata 112 (“online content indexing”) and/or secondary copies 116(“off-line content indexing”). Content indexing can identify files orother data objects based on content (e.g., user-defined keywords orphrases, other keywords/phrases that are not defined by a user, etc.),and/or metadata (e.g., email metadata such as “to,” “from,” “cc,” “bcc,”attachment name, received time, etc.). Content indexes may be searched,and search results may be restored.

System 100 generally organizes and catalogues the results into a contentindex, which may be stored within media agent database 152, for example.The content index can also include the storage locations of or pointerreferences to indexed data in primary data 112 and/or secondary copies116. Results may also be stored elsewhere in system 100 (e.g., inprimary storage device 104 or in secondary storage device 108). Suchcontent index data provides storage manager 140 or other components withan efficient mechanism for locating primary data 112 and/or secondarycopies 116 of data objects that match particular criteria, thus greatlyincreasing the search speed capability of system 100. For instance,search criteria can be specified by a user through user interface 158 ofstorage manager 140. Moreover, when system 100 analyzes data and/ormetadata in secondary copies 116 to create an “off-line content index,”this operation has no significant impact on the performance of clientcomputing devices 102 and thus does not take a toll on the productionenvironment. Examples of content indexing techniques are provided inU.S. Pat. No. 8,170,995.

One or more components, such as a content index engine, can beconfigured to scan data and/or associated metadata for classificationpurposes to populate a database (or other data structure) ofinformation, which can be referred to as a “data classificationdatabase” or a “metabase.” Depending on the embodiment, the dataclassification database(s) can be organized in a variety of differentways, including centralization, logical sub-divisions, and/or physicalsub-divisions. For instance, one or more data classification databasesmay be associated with different subsystems or tiers within system 100.As an example, there may be a first metabase associated with primarystorage subsystem 117 and a second metabase associated with secondarystorage subsystem 118. In other cases, metabase(s) may be associatedwith individual components, e.g., client computing devices 102 and/ormedia agents 144. In some embodiments, a data classification databasemay reside as one or more data structures within management database146, may be otherwise associated with storage manager 140, and/or mayreside as a separate component. In some cases, metabase(s) may beincluded in separate database(s) and/or on separate storage device(s)from primary data 112 and/or secondary copies 116, such that operationsrelated to the metabase(s) do not significantly impact performance onother components of system 100. In other cases, metabase(s) may bestored along with primary data 112 and/or secondary copies 116. Files orother data objects can be associated with identifiers (e.g., tagentries, etc.) to facilitate searches of stored data objects. Among anumber of other benefits, the metabase can also allow efficient,automatic identification of files or other data objects to associatewith secondary copy or other information management operations. Forinstance, a metabase can dramatically improve the speed with whichsystem 100 can search through and identify data as compared to otherapproaches that involve scanning an entire file system. Examples ofmetabases and data classification operations are provided in U.S. Pat.Nos. 7,734,669 and 7,747,579.

Management and Reporting Operations

Certain embodiments leverage the integrated ubiquitous nature of system100 to provide useful system-wide management and reporting. Operationsmanagement can generally include monitoring and managing the health andperformance of system 100 by, without limitation, performing errortracking, generating granular storage/performance metrics (e.g., jobsuccess/failure information, deduplication efficiency, etc.), generatingstorage modeling and costing information, and the like. As an example,storage manager 140 or another component in system 100 may analyzetraffic patterns and suggest and/or automatically route data to minimizecongestion. In some embodiments, the system can generate predictionsrelating to storage operations or storage operation information. Suchpredictions, which may be based on a trending analysis, may predictvarious network operations or resource usage, such as network trafficlevels, storage media use, use of bandwidth of communication links, useof media agent components, etc. Further examples of traffic analysis,trend analysis, prediction generation, and the like are described inU.S. Pat. No. 7,343,453.

In some configurations having a hierarchy of storage operation cells, amaster storage manager 140 may track the status of subordinate cells,such as the status of jobs, system components, system resources, andother items, by communicating with storage managers 140 (or othercomponents) in the respective storage operation cells. Moreover, themaster storage manager 140 may also track status by receiving periodicstatus updates from the storage managers 140 (or other components) inthe respective cells regarding jobs, system components, systemresources, and other items. In some embodiments, a master storagemanager 140 may store status information and other information regardingits associated storage operation cells and other system information inits management database 146 and/or index 150 (or in another location).The master storage manager 140 or other component may also determinewhether certain storage-related or other criteria are satisfied, and mayperform an action or trigger event (e.g., data migration) in response tothe criteria being satisfied, such as where a storage threshold is metfor a particular volume, or where inadequate protection exists forcertain data. For instance, data from one or more storage operationcells is used to dynamically and automatically mitigate recognizedrisks, and/or to advise users of risks or suggest actions to mitigatethese risks. For example, an information management policy may specifycertain requirements (e.g., that a storage device should maintain acertain amount of free space, that secondary copies should occur at aparticular interval, that data should be aged and migrated to otherstorage after a particular period, that data on a secondary volumeshould always have a certain level of availability and be restorablewithin a given time period, that data on a secondary volume may bemirrored or otherwise migrated to a specified number of other volumes,etc.). If a risk condition or other criterion is triggered, the systemmay notify the user of these conditions and may suggest (orautomatically implement) a mitigation action to address the risk. Forexample, the system may indicate that data from a primary copy 112should be migrated to a secondary storage device 108 to free up space onprimary storage device 104. Examples of the use of risk factors andother triggering criteria are described in U.S. Pat. No. 7,343,453.

In some embodiments, system 100 may also determine whether a metric orother indication satisfies particular storage criteria sufficient toperform an action. For example, a storage policy or other definitionmight indicate that a storage manager 140 should initiate a particularaction if a storage metric or other indication drops below or otherwisefails to satisfy specified criteria such as a threshold of dataprotection. In some embodiments, risk factors may be quantified intocertain measurable service or risk levels. For example, certainapplications and associated data may be considered to be more importantrelative to other data and services. Financial compliance data, forexample, may be of greater importance than marketing materials, etc.Network administrators may assign priority values or “weights” tocertain data and/or applications corresponding to the relativeimportance. The level of compliance of secondary copy operationsspecified for these applications may also be assigned a certain value.Thus, the health, impact, and overall importance of a service may bedetermined, such as by measuring the compliance value and calculatingthe product of the priority value and the compliance value to determinethe “service level” and comparing it to certain operational thresholdsto determine whether it is acceptable. Further examples of the servicelevel determination are provided in U.S. Pat. No. 7,343,453.

System 100 may additionally calculate data costing and data availabilityassociated with information management operation cells. For instance,data received from a cell may be used in conjunction withhardware-related information and other information about system elementsto determine the cost of storage and/or the availability of particulardata. Exemplary information generated could include how fast aparticular department is using up available storage space, how long datawould take to recover over a particular pathway from a particularsecondary storage device, costs over time, etc. Moreover, in someembodiments, such information may be used to determine or predict theoverall cost associated with the storage of certain information. Thecost associated with hosting a certain application may be based, atleast in part, on the type of media on which the data resides, forexample. Storage devices may be assigned to a particular costcategories, for example. Further examples of costing techniques aredescribed in U.S. Pat. No. 7,343,453.

Any of the above types of information (e.g., information related totrending, predictions, job, cell or component status, risk, servicelevel, costing, etc.) can generally be provided to users via userinterface 158 in a single integrated view or console (not shown). Reporttypes may include: scheduling, event management, media management anddata aging. Available reports may also include backup history, dataaging history, auxiliary copy history, job history, library and drive,media in library, restore history, and storage policy, etc., withoutlimitation. Such reports may be specified and created at a certain pointin time as a system analysis, forecasting, or provisioning tool.Integrated reports may also be generated that illustrate storage andperformance metrics, risks and storage costing information. Moreover,users may create their own reports based on specific needs. Userinterface 158 can include an option to graphically depict the variouscomponents in the system using appropriate icons. As one example, userinterface 158 may provide a graphical depiction of primary storagedevices 104, secondary storage devices 108, data agents 142 and/or mediaagents 144, and their relationship to one another in system 100.

In general, the operations management functionality of system 100 canfacilitate planning and decision-making. For example, in someembodiments, a user may view the status of some or all jobs as well asthe status of each component of information management system 100. Usersmay then plan and make decisions based on this data. For instance, auser may view high-level information regarding secondary copy operationsfor system 100, such as job status, component status, resource status(e.g., communication pathways, etc.), and other information. The usermay also drill down or use other means to obtain more detailedinformation regarding a particular component, job, or the like. Furtherexamples are provided in U.S. Pat. No. 7,343,453.

System 100 can also be configured to perform system-wide e-discoveryoperations in some embodiments. In general, e-discovery operationsprovide a unified collection and search capability for data in thesystem, such as data stored in secondary storage devices 108 (e.g.,backups, archives, or other secondary copies 116). For example, system100 may construct and maintain a virtual repository for data stored insystem 100 that is integrated across source applications 110, differentstorage device types, etc. According to some embodiments, e-discoveryutilizes other techniques described herein, such as data classificationand/or content indexing.

Information Management Policies

An information management policy 148 can include a data structure orother information source that specifies a set of parameters (e.g.,criteria and rules) associated with secondary copy and/or otherinformation management operations.

One type of information management policy 148 is a “storage policy.”According to certain embodiments, a storage policy generally comprises adata structure or other information source that defines (or includesinformation sufficient to determine) a set of preferences or othercriteria for performing information management operations. Storagepolicies can include one or more of the following: (1) what data will beassociated with the storage policy, e.g., subclient; (2) a destinationto which the data will be stored; (3) datapath information specifyinghow the data will be communicated to the destination; (4) the type ofsecondary copy operation to be performed; and (5) retention informationspecifying how long the data will be retained at the destination (see,e.g., FIG. 1E). Data associated with a storage policy can be logicallyorganized into subclients, which may represent primary data 112 and/orsecondary copies 116. A subclient may represent static or dynamicassociations of portions of a data volume. Subclients may representmutually exclusive portions. Thus, in certain embodiments, a portion ofdata may be given a label and the association is stored as a staticentity in an index, database or other storage location. Subclients mayalso be used as an effective administrative scheme of organizing dataaccording to data type, department within the enterprise, storagepreferences, or the like. Depending on the configuration, subclients cancorrespond to files, folders, virtual machines, databases, etc. In oneexemplary scenario, an administrator may find it preferable to separatee-mail data from financial data using two different subclients.

A storage policy can define where data is stored by specifying a targetor destination storage device (or group of storage devices). Forinstance, where the secondary storage device 108 includes a group ofdisk libraries, the storage policy may specify a particular disk libraryfor storing the subclients associated with the policy. As anotherexample, where the secondary storage devices 108 include one or moretape libraries, the storage policy may specify a particular tape libraryfor storing the subclients associated with the storage policy, and mayalso specify a drive pool and a tape pool defining a group of tapedrives and a group of tapes, respectively, for use in storing thesubclient data. While information in the storage policy can bestatically assigned in some cases, some or all of the information in thestorage policy can also be dynamically determined based on criteria setforth in the storage policy. For instance, based on such criteria, aparticular destination storage device(s) or other parameter of thestorage policy may be determined based on characteristics associatedwith the data involved in a particular secondary copy operation, deviceavailability (e.g., availability of a secondary storage device 108 or amedia agent 144), network status and conditions (e.g., identifiedbottlenecks), user credentials, and the like.

Datapath information can also be included in the storage policy. Forinstance, the storage policy may specify network pathways and componentsto utilize when moving the data to the destination storage device(s). Insome embodiments, the storage policy specifies one or more media agents144 for conveying data associated with the storage policy between thesource and destination. A storage policy can also specify the type(s) ofassociated operations, such as backup, archive, snapshot, auxiliarycopy, or the like. Furthermore, retention parameters can specify howlong the resulting secondary copies 116 will be kept (e.g., a number ofdays, months, years, etc.), perhaps depending on organizational needsand/or compliance criteria.

When adding a new client computing device 102, administrators canmanually configure information management policies 148 and/or othersettings, e.g., via user interface 158. However, this can be an involvedprocess resulting in delays, and it may be desirable to begin dataprotection operations quickly, without awaiting human intervention.Thus, in some embodiments, system 100 automatically applies a defaultconfiguration to client computing device 102. As one example, when oneor more data agent(s) 142 are installed on a client computing device102, the installation script may register the client computing device102 with storage manager 140, which in turn applies the defaultconfiguration to the new client computing device 102. In this manner,data protection operations can begin substantially immediately. Thedefault configuration can include a default storage policy, for example,and can specify any appropriate information sufficient to begin dataprotection operations. This can include a type of data protectionoperation, scheduling information, a target secondary storage device108, data path information (e.g., a particular media agent 144), and thelike.

Another type of information management policy 148 is a “schedulingpolicy,” which specifies when and how often to perform operations.Scheduling parameters may specify with what frequency (e.g., hourly,weekly, daily, event-based, etc.) or under what triggering conditionssecondary copy or other information management operations are to takeplace. Scheduling policies in some cases are associated with particularcomponents, such as a subclient, client computing device 102, and thelike.

Another type of information management policy 148 is an “audit policy”(or “security policy”), which comprises preferences, rules and/orcriteria that protect sensitive data in system 100. For example, anaudit policy may define “sensitive objects” which are files or dataobjects that contain particular keywords (e.g., “confidential,” or“privileged”) and/or are associated with particular keywords (e.g., inmetadata) or particular flags (e.g., in metadata identifying a documentor email as personal, confidential, etc.). An audit policy may furtherspecify rules for handling sensitive objects. As an example, an auditpolicy may require that a reviewer approve the transfer of any sensitiveobjects to a cloud storage site, and that if approval is denied for aparticular sensitive object, the sensitive object should be transferredto a local primary storage device 104 instead. To facilitate thisapproval, the audit policy may further specify how a secondary storagecomputing device 106 or other system component should notify a reviewerthat a sensitive object is slated for transfer.

Another type of information management policy 148 is a “provisioningpolicy,” which can include preferences, priorities, rules, and/orcriteria that specify how client computing devices 102 (or groupsthereof) may utilize system resources, such as available storage oncloud storage and/or network bandwidth. A provisioning policy specifies,for example, data quotas for particular client computing devices 102(e.g., a number of gigabytes that can be stored monthly, quarterly orannually). Storage manager 140 or other components may enforce theprovisioning policy. For instance, media agents 144 may enforce thepolicy when transferring data to secondary storage devices 108. If aclient computing device 102 exceeds a quota, a budget for the clientcomputing device 102 (or associated department) may be adjustedaccordingly or an alert may trigger.

While the above types of information management policies 148 aredescribed as separate policies, one or more of these can be generallycombined into a single information management policy 148. For instance,a storage policy may also include or otherwise be associated with one ormore scheduling, audit, or provisioning policies or operationalparameters thereof. Moreover, while storage policies are typicallyassociated with moving and storing data, other policies may beassociated with other types of information management operations. Thefollowing is a non-exhaustive list of items that information managementpolicies 148 may specify:

-   -   schedules or other timing information, e.g., specifying when        and/or how often to perform information management operations;    -   the type of secondary copy 116 and/or copy format (e.g.,        snapshot, backup, archive, HSM, etc.);    -   a location or a class or quality of storage for storing        secondary copies 116 (e.g., one or more particular secondary        storage devices 108);    -   preferences regarding whether and how to encrypt, compress,        deduplicate, or otherwise modify or transform secondary copies        116;    -   which system components and/or network pathways (e.g., preferred        media agents 144) should be used to perform secondary storage        operations;    -   resource allocation among different computing devices or other        system components used in performing information management        operations (e.g., bandwidth allocation, available storage        capacity, etc.);    -   whether and how to synchronize or otherwise distribute files or        other data objects across multiple computing devices or hosted        services; and    -   retention information specifying the length of time primary data        112 and/or secondary copies 116 should be retained, e.g., in a        particular class or tier of storage devices, or within the        system 100.

Information management policies 148 can additionally specify or dependon historical or current criteria that may be used to determine whichrules to apply to a particular data object, system component, orinformation management operation, such as:

-   -   frequency with which primary data 112 or a secondary copy 116 of        a data object or metadata has been or is predicted to be used,        accessed, or modified;    -   time-related factors (e.g., aging information such as time since        the creation or modification of a data object);    -   deduplication information (e.g., hashes, data blocks,        deduplication block size, deduplication efficiency or other        metrics);    -   an estimated or historic usage or cost associated with different        components (e.g., with secondary storage devices 108);    -   the identity of users, applications 110, client computing        devices 102 and/or other computing devices that created,        accessed, modified, or otherwise utilized primary data 112 or        secondary copies 116;    -   a relative sensitivity (e.g., confidentiality, importance) of a        data object, e.g., as determined by its content and/or metadata;    -   the current or historical storage capacity of various storage        devices;    -   the current or historical network capacity of network pathways        connecting various components within the storage operation cell;    -   access control lists or other security information; and    -   the content of a particular data object (e.g., its textual        content) or of metadata associated with the data object.

Exemplary Storage Policy and Secondary Copy Operations

FIG. 1E includes a data flow diagram depicting performance of secondarycopy operations by an embodiment of information management system 100,according to an exemplary storage policy 148A. System 100 includes astorage manager 140, a client computing device 102 having a file systemdata agent 142A and an email data agent 142B operating thereon, aprimary storage device 104, two media agents 144A, 144B, and twosecondary storage devices 108: a disk library 108A and a tape library108B. As shown, primary storage device 104 includes primary data 112A,which is associated with a logical grouping of data associated with afile system (“file system subclient”), and primary data 112B, which is alogical grouping of data associated with email (“email subclient”). Thetechniques described with respect to FIG. 1E can be utilized inconjunction with data that is otherwise organized as well.

As indicated by the dashed box, the second media agent 144B and tapelibrary 108B are “off-site,” and may be remotely located from the othercomponents in system 100 (e.g., in a different city, office building,etc.). Indeed, “off-site” may refer to a magnetic tape located in remotestorage, which must be manually retrieved and loaded into a tape driveto be read. In this manner, information stored on the tape library 108Bmay provide protection in the event of a disaster or other failure atthe main site(s) where data is stored.

The file system subclient 112A in certain embodiments generallycomprises information generated by the file system and/or operatingsystem of client computing device 102, and can include, for example,file system data (e.g., regular files, file tables, mount points, etc.),operating system data (e.g., registries, event logs, etc.), and thelike. The e-mail subclient 112B can include data generated by an e-mailapplication operating on client computing device 102, e.g., mailboxinformation, folder information, emails, attachments, associateddatabase information, and the like. As described above, the subclientscan be logical containers, and the data included in the correspondingprimary data 112A and 112B may or may not be stored contiguously.

The exemplary storage policy 148A includes backup copy preferences orrule set 160, disaster recovery copy preferences or rule set 162, andcompliance copy preferences or rule set 164. Backup copy rule set 160specifies that it is associated with file system subclient 166 and emailsubclient 168. Each of subclients 166 and 168 are associated with theparticular client computing device 102. Backup copy rule set 160 furtherspecifies that the backup operation will be written to disk library 108Aand designates a particular media agent 144A to convey the data to disklibrary 108A. Finally, backup copy rule set 160 specifies that backupcopies created according to rule set 160 are scheduled to be generatedhourly and are to be retained for 30 days. In some other embodiments,scheduling information is not included in storage policy 148A and isinstead specified by a separate scheduling policy.

Disaster recovery copy rule set 162 is associated with the same twosubclients 166 and 168. However, disaster recovery copy rule set 162 isassociated with tape library 108B, unlike backup copy rule set 160.Moreover, disaster recovery copy rule set 162 specifies that a differentmedia agent, namely 144B, will convey data to tape library 108B.Disaster recovery copies created according to rule set 162 will beretained for 60 days and will be generated daily. Disaster recoverycopies generated according to disaster recovery copy rule set 162 canprovide protection in the event of a disaster or other catastrophic dataloss that would affect the backup copy 116A maintained on disk library108A.

Compliance copy rule set 164 is only associated with the email subclient168, and not the file system subclient 166. Compliance copies generatedaccording to compliance copy rule set 164 will therefore not includeprimary data 112A from the file system subclient 166. For instance, theorganization may be under an obligation to store and maintain copies ofemail data for a particular period of time (e.g., 10 years) to complywith state or federal regulations, while similar regulations do notapply to file system data. Compliance copy rule set 164 is associatedwith the same tape library 108B and media agent 144B as disasterrecovery copy rule set 162, although a different storage device or mediaagent could be used in other embodiments. Finally, compliance copy ruleset 164 specifies that the copies it governs will be generated quarterlyand retained for 10 years.

Secondary Copy Jobs

A logical grouping of secondary copy operations governed by a rule setand being initiated at a point in time may be referred to as a“secondary copy job” (and sometimes may be called a “backup job,” eventhough it is not necessarily limited to creating only backup copies).Secondary copy jobs may be initiated on demand as well. Steps 1-9 belowillustrate three secondary copy jobs based on storage policy 148A.

Referring to FIG. 1E, at step 1, storage manager 140 initiates a backupjob according to the backup copy rule set 160, which logically comprisesall the secondary copy operations necessary to effectuate rules 160 instorage policy 148A every hour, including steps 1-4 occurring hourly.For instance, a scheduling service running on storage manager 140accesses backup copy rule set 160 or a separate scheduling policyassociated with client computing device 102 and initiates a backup jobon an hourly basis. Thus, at the scheduled time, storage manager 140sends instructions to client computing device 102 (i.e., to both dataagent 142A and data agent 142B) to begin the backup job.

At step 2, file system data agent 142A and email data agent 142B onclient computing device 102 respond to instructions from storage manager140 by accessing and processing the respective subclient primary data112A and 112B involved in the backup copy operation, which can be foundin primary storage device 104. Because the secondary copy operation is abackup copy operation, the data agent(s) 142A, 142B may format the datainto a backup format or otherwise process the data suitable for a backupcopy.

At step 3, client computing device 102 communicates the processed filesystem data (e.g., using file system data agent 142A) and the processedemail data (e.g., using email data agent 142B) to the first media agent144A according to backup copy rule set 160, as directed by storagemanager 140. Storage manager 140 may further keep a record in managementdatabase 146 of the association between media agent 144A and one or moreof: client computing device 102, file system subclient 112A, file systemdata agent 142A, email subclient 112B, email data agent 142B, and/orbackup copy 116A.

The target media agent 144A receives the data-agent-processed data fromclient computing device 102, and at step 4 generates and conveys backupcopy 116A to disk library 108A to be stored as backup copy 116A, againat the direction of storage manager 140 and according to backup copyrule set 160. Media agent 144A can also update its index 153 to includedata and/or metadata related to backup copy 116A, such as informationindicating where the backup copy 116A resides on disk library 108A,where the email copy resides, where the file system copy resides, dataand metadata for cache retrieval, etc. Storage manager 140 may similarlyupdate its index 150 to include information relating to the secondarycopy operation, such as information relating to the type of operation, aphysical location associated with one or more copies created by theoperation, the time the operation was performed, status informationrelating to the operation, the components involved in the operation, andthe like. In some cases, storage manager 140 may update its index 150 toinclude some or all of the information stored in index 153 of mediaagent 144A. At this point, the backup job may be considered complete.After the 30-day retention period expires, storage manager 140 instructsmedia agent 144A to delete backup copy 116A from disk library 108A andindexes 150 and/or 153 are updated accordingly.

At step 5, storage manager 140 initiates another backup job for adisaster recovery copy according to the disaster recovery rule set 162.Illustratively this includes steps 5-7 occurring daily for creatingdisaster recovery copy 116B. Illustratively, and by way of illustratingthe scalable aspects and off-loading principles embedded in system 100,disaster recovery copy 116B is based on backup copy 116A and not onprimary data 112A and 112B.

At step 6, illustratively based on instructions received from storagemanager 140 at step 5, the specified media agent 1446 retrieves the mostrecent backup copy 116A from disk library 108A.

At step 7, again at the direction of storage manager 140 and asspecified in disaster recovery copy rule set 162, media agent 144B usesthe retrieved data to create a disaster recovery copy 1166 and store itto tape library 1086. In some cases, disaster recovery copy 116B is adirect, mirror copy of backup copy 116A, and remains in the backupformat. In other embodiments, disaster recovery copy 116B may be furthercompressed or encrypted, or may be generated in some other manner, suchas by using primary data 112A and 1126 from primary storage device 104as sources. The disaster recovery copy operation is initiated once a dayand disaster recovery copies 1166 are deleted after 60 days; indexes 153and/or 150 are updated accordingly when/after each informationmanagement operation is executed and/or completed. The present backupjob may be considered completed.

At step 8, storage manager 140 initiates another backup job according tocompliance rule set 164, which performs steps 8-9 quarterly to createcompliance copy 116C. For instance, storage manager 140 instructs mediaagent 144B to create compliance copy 116C on tape library 1086, asspecified in the compliance copy rule set 164.

At step 9 in the example, compliance copy 116C is generated usingdisaster recovery copy 1166 as the source. This is efficient, becausedisaster recovery copy resides on the same secondary storage device andthus no network resources are required to move the data. In otherembodiments, compliance copy 116C is instead generated using primarydata 112B corresponding to the email subclient or using backup copy 116Afrom disk library 108A as source data. As specified in the illustratedexample, compliance copies 116C are created quarterly, and are deletedafter ten years, and indexes 153 and/or 150 are kept up-to-dateaccordingly.

Exemplary Applications of Storage Policies—Information GovernancePolicies and Classification

Again referring to FIG. 1E, storage manager 140 may permit a user tospecify aspects of storage policy 148A. For example, the storage policycan be modified to include information governance policies to define howdata should be managed in order to comply with a certain regulation orbusiness objective. The various policies may be stored, for example, inmanagement database 146. An information governance policy may align withone or more compliance tasks that are imposed by regulations or businessrequirements. Examples of information governance policies might includea Sarbanes-Oxley policy, a HIPAA policy, an electronic discovery(e-discovery) policy, and so on.

Information governance policies allow administrators to obtain differentperspectives on an organization's online and offline data, without theneed for a dedicated data silo created solely for each differentviewpoint. As described previously, the data storage systems hereinbuild an index that reflects the contents of a distributed data set thatspans numerous clients and storage devices, including both primary dataand secondary copies, and online and offline copies. An organization mayapply multiple information governance policies in a top-down manner overthat unified data set and indexing schema in order to view andmanipulate the data set through different lenses, each of which isadapted to a particular compliance or business goal. Thus, for example,by applying an e-discovery policy and a Sarbanes-Oxley policy, twodifferent groups of users in an organization can conduct two verydifferent analyses of the same underlying physical set of data/copies,which may be distributed throughout the information management system.

An information governance policy may comprise a classification policy,which defines a taxonomy of classification terms or tags relevant to acompliance task and/or business objective. A classification policy mayalso associate a defined tag with a classification rule. Aclassification rule defines a particular combination of criteria, suchas users who have created, accessed or modified a document or dataobject; file or application types; content or metadata keywords; clientsor storage locations; dates of data creation and/or access; reviewstatus or other status within a workflow (e.g., reviewed orun-reviewed); modification times or types of modifications; and/or anyother data attributes in any combination, without limitation. Aclassification rule may also be defined using other classification tagsin the taxonomy. The various criteria used to define a classificationrule may be combined in any suitable fashion, for example, via Booleanoperators, to define a complex classification rule. As an example, ane-discovery classification policy might define a classification tag“privileged” that is associated with documents or data objects that (1)were created or modified by legal department staff, or (2) were sent toor received from outside counsel via email, or (3) contain one of thefollowing keywords: “privileged” or “attorney” or “counsel,” or otherlike terms. Accordingly, all these documents or data objects will beclassified as “privileged.”

One specific type of classification tag, which may be added to an indexat the time of indexing, is an “entity tag.” An entity tag may be, forexample, any content that matches a defined data mask format. Examplesof entity tags might include, e.g., social security numbers (e.g., anynumerical content matching the formatting mask XXX-XX-XXXX), credit cardnumbers (e.g., content having a 13-16 digit string of numbers), SKUnumbers, product numbers, etc. A user may define a classification policyby indicating criteria, parameters or descriptors of the policy via agraphical user interface, such as a form or page with fields to befilled in, pull-down menus or entries allowing one or more of severaloptions to be selected, buttons, sliders, hypertext links or other knownuser interface tools for receiving user input, etc. For example, a usermay define certain entity tags, such as a particular product number orproject ID. In some implementations, the classification policy can beimplemented using cloud-based techniques. For example, the storagedevices may be cloud storage devices, and the storage manager 140 mayexecute cloud service provider API over a network to classify datastored on cloud storage devices.

Restore Operations from Secondary Copies

While not shown in FIG. 1E, at some later point in time, a restoreoperation can be initiated involving one or more of secondary copies116A, 116B, and 116C. A restore operation logically takes a selectedsecondary copy 116, reverses the effects of the secondary copy operationthat created it, and stores the restored data to primary storage where aclient computing device 102 may properly access it as primary data. Amedia agent 144 and an appropriate data agent 142 (e.g., executing onthe client computing device 102) perform the tasks needed to complete arestore operation. For example, data that was encrypted, compressed,and/or deduplicated in the creation of secondary copy 116 will becorrespondingly rehydrated (reversing deduplication), uncompressed, andunencrypted into a format appropriate to primary data. Metadata storedwithin or associated with the secondary copy 116 may be used during therestore operation. In general, restored data should be indistinguishablefrom other primary data 112. Preferably, the restored data has fullyregained the native format that may make it immediately usable byapplication 110.

As one example, a user may manually initiate a restore of backup copy116A, e.g., by interacting with user interface 158 of storage manager140 or with a web-based console with access to system 100. Storagemanager 140 may accesses data in its index 150 and/or managementdatabase 146 (and/or the respective storage policy 148A) associated withthe selected backup copy 116A to identify the appropriate media agent144A and/or secondary storage device 108A where the secondary copyresides. The user may be presented with a representation (e.g., stub,thumbnail, listing, etc.) and metadata about the selected secondarycopy, in order to determine whether this is the appropriate copy to berestored, e.g., date that the original primary data was created. Storagemanager 140 will then instruct media agent 144A and an appropriate dataagent 142 on the target client computing device 102 to restore secondarycopy 116A to primary storage device 104. A media agent may be selectedfor use in the restore operation based on a load balancing algorithm, anavailability based algorithm, or other criteria. The selected mediaagent, e.g., 144A, retrieves secondary copy 116A from disk library 108A.For instance, media agent 144A may access its index 153 to identify alocation of backup copy 116A on disk library 108A, or may accesslocation information residing on disk library 108A itself.

In some cases, a backup copy 116A that was recently created or accessed,may be cached to speed up the restore operation. In such a case, mediaagent 144A accesses a cached version of backup copy 116A residing inindex 153, without having to access disk library 108A for some or all ofthe data. Once it has retrieved backup copy 116A, the media agent 144Acommunicates the data to the requesting client computing device 102.Upon receipt, file system data agent 142A and email data agent 142B mayunpack (e.g., restore from a backup format to the native applicationformat) the data in backup copy 116A and restore the unpackaged data toprimary storage device 104. In general, secondary copies 116 may berestored to the same volume or folder in primary storage device 104 fromwhich the secondary copy was derived; to another storage location orclient computing device 102; to shared storage, etc. In some cases, thedata may be restored so that it may be used by an application 110 of adifferent version/vintage from the application that created the originalprimary data 112.

Exemplary Secondary Copy Formatting

The formatting and structure of secondary copies 116 can vary dependingon the embodiment. In some cases, secondary copies 116 are formatted asa series of logical data units or “chunks” (e.g., 512 MB, 1 GB, 2 GB, 4GB, or 8 GB chunks). This can facilitate efficient communication andwriting to secondary storage devices 108, e.g., according to resourceavailability. For example, a single secondary copy 116 may be written ona chunk-by-chunk basis to one or more secondary storage devices 108. Insome cases, users can select different chunk sizes, e.g., to improvethroughput to tape storage devices. Generally, each chunk can include aheader and a payload. The payload can include files (or other dataunits) or subsets thereof included in the chunk, whereas the chunkheader generally includes metadata relating to the chunk, some or all ofwhich may be derived from the payload. For example, during a secondarycopy operation, media agent 144, storage manager 140, or other componentmay divide files into chunks and generate headers for each chunk byprocessing the files. Headers can include a variety of information suchas file and/or volume identifier(s), offset(s), and/or other informationassociated with the payload data items, a chunk sequence number, etc.Importantly, in addition to being stored with secondary copy 116 onsecondary storage device 108, chunk headers can also be stored to index153 of the associated media agent(s) 144 and/or to index 150 associatedwith storage manager 140. This can be useful for providing fasterprocessing of secondary copies 116 during browsing, restores, or otheroperations. In some cases, once a chunk is successfully transferred to asecondary storage device 108, the secondary storage device 108 returnsan indication of receipt, e.g., to media agent 144 and/or storagemanager 140, which may update their respective indexes 153, 150accordingly. During restore, chunks may be processed (e.g., by mediaagent 144) according to the information in the chunk header toreassemble the files.

Data can also be communicated within system 100 in data channels thatconnect client computing devices 102 to secondary storage devices 108.These data channels can be referred to as “data streams,” and multipledata streams can be employed to parallelize an information managementoperation, improving data transfer rate, among other advantages. Exampledata formatting techniques including techniques involving datastreaming, chunking, and the use of other data structures in creatingsecondary copies are described in U.S. Pat. Nos. 7,315,923, 8,156,086,and 8,578,120.

FIGS. 1F and 1G are diagrams of example data streams 170 and 171,respectively, which may be employed for performing informationmanagement operations. Referring to FIG. 1F, data agent 142 forms datastream 170 from source data associated with a client computing device102 (e.g., primary data 112). Data stream 170 is composed of multiplepairs of stream header 172 and stream data (or stream payload) 174. Datastreams 170 and 171 shown in the illustrated example are for asingle-instanced storage operation, and a stream payload 174 thereforemay include both single-instance (SI) data and/or non-SI data. A streamheader 172 includes metadata about the stream payload 174. This metadatamay include, for example, a length of the stream payload 174, anindication of whether the stream payload 174 is encrypted, an indicationof whether the stream payload 174 is compressed, an archive fileidentifier (ID), an indication of whether the stream payload 174 issingle instanceable, and an indication of whether the stream payload 174is a start of a block of data.

Referring to FIG. 1G, data stream 171 has the stream header 172 andstream payload 174 aligned into multiple data blocks. In this example,the data blocks are of size 64 KB. The first two stream header 172 andstream payload 174 pairs comprise a first data block of size 64 KB. Thefirst stream header 172 indicates that the length of the succeedingstream payload 174 is 63 KB and that it is the start of a data block.The next stream header 172 indicates that the succeeding stream payload174 has a length of 1 KB and that it is not the start of a new datablock. Immediately following stream payload 174 is a pair comprising anidentifier header 176 and identifier data 178. The identifier header 176includes an indication that the succeeding identifier data 178 includesthe identifier for the immediately previous data block. The identifierdata 178 includes the identifier that the data agent 142 generated forthe data block. The data stream 171 also includes other stream header172 and stream payload 174 pairs, which may be for SI data and/or non-SIdata.

FIG. 1H is a diagram illustrating data structures 180 that may be usedto store blocks of SI data and non-SI data on a storage device (e.g.,secondary storage device 108). According to certain embodiments, datastructures 180 do not form part of a native file system of the storagedevice. Data structures 180 include one or more volume folders 182, oneor more chunk folders 184/185 within the volume folder 182, and multiplefiles within chunk folder 184. Each chunk folder 184/185 includes ametadata file 186/187, a metadata index file 188/189, one or morecontainer files 190/191/193, and a container index file 192/194.Metadata file 186/187 stores non-SI data blocks as well as links to SIdata blocks stored in container files. Metadata index file 188/189stores an index to the data in the metadata file 186/187. Containerfiles 190/191/193 store SI data blocks. Container index file 192/194stores an index to container files 190/191/193. Among other things,container index file 192/194 stores an indication of whether acorresponding block in a container file 190/191/193 is referred to by alink in a metadata file 186/187. For example, data block B2 in thecontainer file 190 is referred to by a link in metadata file 187 inchunk folder 185. Accordingly, the corresponding index entry incontainer index file 192 indicates that data block B2 in container file190 is referred to. As another example, data block B1 in container file191 is referred to by a link in metadata file 187, and so thecorresponding index entry in container index file 192 indicates thatthis data block is referred to.

As an example, data structures 180 illustrated in FIG. 1H may have beencreated as a result of separate secondary copy operations involving twoclient computing devices 102. For example, a first secondary copyoperation on a first client computing device 102 could result in thecreation of the first chunk folder 184, and a second secondary copyoperation on a second client computing device 102 could result in thecreation of the second chunk folder 185. Container files 190/191 in thefirst chunk folder 184 would contain the blocks of SI data of the firstclient computing device 102. If the two client computing devices 102have substantially similar data, the second secondary copy operation onthe data of the second client computing device 102 would result in mediaagent 144 storing primarily links to the data blocks of the first clientcomputing device 102 that are already stored in the container files190/191. Accordingly, while a first secondary copy operation may resultin storing nearly all of the data subject to the operation, subsequentsecondary storage operations involving similar data may result insubstantial data storage space savings, because links to already storeddata blocks can be stored instead of additional instances of datablocks.

If the operating system of the secondary storage computing device 106 onwhich media agent 144 operates supports sparse files, then when mediaagent 144 creates container files 190/191/193, it can create them assparse files. A sparse file is a type of file that may include emptyspace (e.g., a sparse file may have real data within it, such as at thebeginning of the file and/or at the end of the file, but may also haveempty space in it that is not storing actual data, such as a contiguousrange of bytes all having a value of zero). Having container files190/191/193 be sparse files allows media agent 144 to free up space incontainer files 190/191/193 when blocks of data in container files190/191/193 no longer need to be stored on the storage devices. In someexamples, media agent 144 creates a new container file 190/191/193 whena container file 190/191/193 either includes 100 blocks of data or whenthe size of the container file 190 exceeds 50 MB. In other examples,media agent 144 creates a new container file 190/191/193 when acontainer file 190/191/193 satisfies other criteria (e.g., it containsfrom approx. 100 to approx. 1000 blocks or when its size exceedsapproximately 50 MB to 1 GB). In some cases, a file on which a secondarycopy operation is performed may comprise a large number of data blocks.For example, a 100 MB file may comprise 400 data blocks of size 256 KB.If such a file is to be stored, its data blocks may span more than onecontainer file, or even more than one chunk folder. As another example,a database file of 20 GB may comprise over 40,000 data blocks of size512 KB. If such a database file is to be stored, its data blocks willlikely span multiple container files, multiple chunk folders, andpotentially multiple volume folders. Restoring such files may requireaccessing multiple container files, chunk folders, and/or volume foldersto obtain the requisite data blocks.

Using Backup Data for Replication and Disaster Recovery (“LiveSynchronization”)

There is an increased demand to off-load resource intensive informationmanagement tasks (e.g., data replication tasks) away from productiondevices (e.g., physical or virtual client computing devices) in order tomaximize production efficiency. At the same time, enterprises expectaccess to readily-available up-to-date recovery copies in the event offailure, with little or no production downtime.

FIG. 2A illustrates a system 200 configured to address these and otherissues by using backup or other secondary copy data to synchronize asource subsystem 201 (e.g., a production site) with a destinationsubsystem 203 (e.g., a failover site). Such a technique can be referredto as “live synchronization” and/or “live synchronization replication.”In the illustrated embodiment, the source client computing devices 202 ainclude one or more virtual machines (or “VMs”) executing on one or morecorresponding VM host computers 205 a, though the source need not bevirtualized. The destination site 203 may be at a location that isremote from the production site 201, or may be located in the same datacenter, without limitation. One or more of the production site 201 anddestination site 203 may reside at data centers at known geographiclocations, or alternatively may operate “in the cloud.”

The synchronization can be achieved by generally applying an ongoingstream of incremental backups from the source subsystem 201 to thedestination subsystem 203, such as according to what can be referred toas an “incremental forever” approach. FIG. 2A illustrates an embodimentof a data flow which may be orchestrated at the direction of one or morestorage managers (not shown). At step 1, the source data agent(s) 242 aand source media agent(s) 244 a work together to write backup or othersecondary copies of the primary data generated by the source clientcomputing devices 202 a into the source secondary storage device(s) 208a. At step 2, the backup/secondary copies are retrieved by the sourcemedia agent(s) 244 a from secondary storage. At step 3, source mediaagent(s) 244 a communicate the backup/secondary copies across a networkto the destination media agent(s) 244 b in destination subsystem 203.

As shown, the data can be copied from source to destination in anincremental fashion, such that only changed blocks are transmitted, andin some cases multiple incremental backups are consolidated at thesource so that only the most current changed blocks are transmitted toand applied at the destination. An example of live synchronization ofvirtual machines using the “incremental forever” approach is found inU.S. Patent Application No. 62/265,339 entitled “Live Synchronizationand Management of Virtual Machines across Computing and VirtualizationPlatforms and Using Live Synchronization to Support Disaster Recovery.”Moreover, a deduplicated copy can be employed to further reduce networktraffic from source to destination. For instance, the system can utilizethe deduplicated copy techniques described in U.S. Pat. No. 9,239,687,entitled “Systems and Methods for Retaining and Using Data BlockSignatures in Data Protection Operations.”

At step 4, destination media agent(s) 244 b write the receivedbackup/secondary copy data to the destination secondary storagedevice(s) 208 b. At step 5, the synchronization is completed when thedestination media agent(s) and destination data agent(s) 242 b restorethe backup/secondary copy data to the destination client computingdevice(s) 202 b. The destination client computing device(s) 202 b may bekept “warm” awaiting activation in case failure is detected at thesource. This synchronization/replication process can incorporate thetechniques described in U.S. patent application Ser. No. 14/721,971,entitled “Replication Using Deduplicated Secondary Copy Data.”

Where the incremental backups are applied on a frequent, on-going basis,the synchronized copies can be viewed as mirror or replication copies.Moreover, by applying the incremental backups to the destination site203 using backup or other secondary copy data, the production site 201is not burdened with the synchronization operations. Because thedestination site 203 can be maintained in a synchronized “warm” state,the downtime for switching over from the production site 201 to thedestination site 203 is substantially less than with a typical restorefrom secondary storage. Thus, the production site 201 may flexibly andefficiently fail over, with minimal downtime and with relativelyup-to-date data, to a destination site 203, such as a cloud-basedfailover site. The destination site 203 can later be reversesynchronized back to the production site 201, such as after repairs havebeen implemented or after the failure has passed.

Integrating with the Cloud Using File System Protocols

Given the ubiquity of cloud computing, it can be increasingly useful toprovide data protection and other information management services in ascalable, transparent, and highly plug-able fashion. FIG. 2B illustratesan information management system 200 having an architecture thatprovides such advantages and incorporates use of a standard file systemprotocol between primary and secondary storage subsystems 217, 218. Asshown, the use of the network file system (NFS) protocol (or any anotherappropriate file system protocol such as that of the Common InternetFile System (CIFS)) allows data agent 242 to be moved from the primarystorage subsystem 217 to the secondary storage subsystem 218. Forinstance, as indicated by the dashed box 206 around data agent 242 andmedia agent 244, data agent 242 can co-reside with media agent 244 onthe same server (e.g., a secondary storage computing device such ascomponent 106), or in some other location in secondary storage subsystem218.

Where NFS is used, for example, secondary storage subsystem 218allocates an NFS network path to the client computing device 202 or toone or more target applications 210 running on client computing device202. During a backup or other secondary copy operation, the clientcomputing device 202 mounts the designated NFS path and writes data tothat NFS path. The NFS path may be obtained from NFS path data 215stored locally at the client computing device 202, and which may be acopy of or otherwise derived from NFS path data 219 stored in thesecondary storage subsystem 218.

Write requests issued by client computing device(s) 202 are received bydata agent 242 in secondary storage subsystem 218, which translates therequests and works in conjunction with media agent 244 to process andwrite data to a secondary storage device(s) 208, thereby creating abackup or other secondary copy. Storage manager 240 can include apseudo-client manager 217, which coordinates the process by, among otherthings, communicating information relating to client computing device202 and application 210 (e.g., application type, client computing deviceidentifier, etc.) to data agent 242, obtaining appropriate NFS path datafrom the data agent 242 (e.g., NFS path information), and deliveringsuch data to client computing device 202.

Conversely, during a restore or recovery operation client computingdevice 202 reads from the designated NFS network path, and the readrequest is translated by data agent 242. The data agent 242 then workswith media agent 244 to retrieve, re-process (e.g., re-hydrate,decompress, decrypt), and forward the requested data to client computingdevice 202 using NFS.

By moving specialized software associated with system 200 such as dataagent 242 off the client computing devices 202, the illustrativearchitecture effectively decouples the client computing devices 202 fromthe installed components of system 200, improving both scalability andplug-ability of system 200. Indeed, the secondary storage subsystem 218in such environments can be treated simply as a read/write NFS targetfor primary storage subsystem 217, without the need for informationmanagement software to be installed on client computing devices 202. Asone example, an enterprise implementing a cloud production computingenvironment can add VM client computing devices 202 without installingand configuring specialized information management software on theseVMs. Rather, backups and restores are achieved transparently, where thenew VMs simply write to and read from the designated NFS path. Anexample of integrating with the cloud using file system protocols orso-called “infinite backup” using NFS share is found in U.S. PatentApplication No. 62/294,920, entitled “Data Protection Operations Basedon Network Path Information.” Examples of improved data restorationscenarios based on network-path information, including using storedbackups effectively as primary data sources, may be found in U.S. PatentApplication No. 62/297,057, entitled “Data Restoration Operations Basedon Network Path Information.”

Highly Scalable Managed Data Pool Architecture

Enterprises are seeing explosive data growth in recent years, often fromvarious applications running in geographically distributed locations.FIG. 2C shows a block diagram of an example of a highly scalable,managed data pool architecture useful in accommodating such data growth.The illustrated system 200, which may be referred to as a “web-scale”architecture according to certain embodiments, can be readilyincorporated into both open compute/storage and common-cloudarchitectures.

The illustrated system 200 includes a grid 245 of media agents 244logically organized into a control tier 231 and a secondary or storagetier 233. Media agents assigned to the storage tier 233 can beconfigured to manage a secondary storage pool 208 as a deduplicationstore and be configured to receive client write and read requests fromthe primary storage subsystem 217 and direct those requests to thesecondary tier 233 for servicing. For instance, media agents CMA1-CMA3in the control tier 231 maintain and consult one or more deduplicationdatabases 247, which can include deduplication information (e.g., datablock hashes, data block links, file containers for deduplicated files,etc.) sufficient to read deduplicated files from secondary storage pool208 and write deduplicated files to secondary storage pool 208. Forinstance, system 200 can incorporate any of the deduplication systemsand methods shown and described in U.S. Pat. No. 9,020,900, entitled“Distributed Deduplicated Storage System,” and U.S. Pat. Pub. No.2014/0201170, entitled “High Availability Distributed DeduplicatedStorage System.”

Media agents SMA1-SMA6 assigned to the secondary tier 233 receive writeand read requests from media agents CMA1-CMA3 in control tier 231, andaccess secondary storage pool 208 to service those requests. Mediaagents CMA1-CMA3 in control tier 231 can also communicate with secondarystorage pool 208 and may execute read and write requests themselves(e.g., in response to requests from other control media agentsCMA1-CMA3) in addition to issuing requests to media agents in secondarytier 233. Moreover, while shown as separate from the secondary storagepool 208, deduplication database(s) 247 can in some cases reside instorage devices in secondary storage pool 208.

As shown, each of the media agents 244 (e.g., CMA1-CMA3, SMA1-SMA6,etc.) in grid 245 can be allocated a corresponding dedicated partition251A-2511, respectively, in secondary storage pool 208. Each partition251 can include a first portion 253 containing data associated with(e.g., stored by) media agent 244 corresponding to the respectivepartition 251. System 200 can also implement a desired level ofreplication, thereby providing redundancy in the event of a failure of amedia agent 244 in grid 245. Along these lines, each partition 251 canfurther include a second portion 255 storing one or more replicationcopies of the data associated with one or more other media agents 244 inthe grid.

System 200 can also be configured to allow for seamless addition ofmedia agents 244 to grid 245 via automatic configuration. As oneillustrative example, a storage manager (not shown) or other appropriatecomponent may determine that it is appropriate to add an additional nodeto control tier 231, and perform some or all of the following: (i)assess the capabilities of a newly added or otherwise availablecomputing device as satisfying a minimum criteria to be configured as orhosting a media agent in control tier 231; (ii) confirm that asufficient amount of the appropriate type of storage exists to supportan additional node in control tier 231 (e.g., enough disk drive capacityexists in storage pool 208 to support an additional deduplicationdatabase 247); (iii) install appropriate media agent software on thecomputing device and configure the computing device according to apre-determined template; (iv) establish a partition 251 in the storagepool 208 dedicated to the newly established media agent 244; and (v)build any appropriate data structures (e.g., an instance ofdeduplication database 247). An example of highly scalable managed datapool architecture or so-called web-scale architecture for storage anddata management is found in U.S. Patent Application No. 62/273,286entitled “Redundant and Robust Distributed Deduplication Data StorageSystem.”

The embodiments and components thereof disclosed in FIGS. 2A, 2B, and2C, as well as those in FIGS. 1A-1H, may be implemented in anycombination and permutation to satisfy data storage management andinformation management needs at one or more locations and/or datacenters.

Holistically Protecting Serverless Applications Distributed Across Oneor More Cloud Computing Environments

One of the benefits of the disclosed embodiments is to providecloud-native application protection, including protection for endpoints,components, and/or assets (hereinafter “assets”) associated with theapplication that are not already part of a traditional storage operationcell. Users receive a holistic view of the complete enterprisecloud-native application, which comprises various assets. Theillustrative data protection solution is applied to the entireapplication entity, including its constituent assets. The illustrativeembodiments orchestrate data protection for all the application's assets(e.g., file system, database, web constructs, cloud assets (e.g., Azurefunction, Lambda function), computing platforms (e.g., cognitiveservice, Azure web hook), etc. The illustrative embodiments alsocomprise alerting features that operate at the enterprise applicationlevel, readily identifying offline assets. Moreover, based on theholistic protection approach, an application can be restored to a “lastknown good state” as needed. These and other advantages and features aredescribed in more detail in the following paragraphs and elsewhereherein.

Cloud Computing.

The National Institute of Standards and Technology (NIST) provides thefollowing definition of Cloud Computing characteristics, service models,and deployment models: Cloud Computing

-   -   Cloud computing is a model for enabling ubiquitous, convenient,        on-demand network access to a shared pool of configurable        computing resources (e.g., networks, servers, storage,        applications, and services) that can be rapidly provisioned and        released with minimal management effort or service provider        interaction. This cloud model is composed of five essential        characteristics, three service models, and four deployment        models.

Essential Characteristics:

-   -   On-demand self-service. A consumer can unilaterally provision        computing capabilities, such as server time and network storage,        as needed automatically without requiring human interaction with        each service provider.    -   Broad network access. Capabilities are available over the        network and accessed through standard mechanisms that promote        use by heterogeneous thin or thick client platforms (e.g.,        mobile phones, tablets, laptops, and workstations).    -   Resource pooling. The provider's computing resources are pooled        to serve multiple consumers using a multi-tenant model, with        different physical and virtual resources dynamically assigned        and reassigned according to consumer demand. There is a sense of        location independence in that the customer generally has no        control or knowledge over the exact location of the provided        resources but may be able to specify location at a higher level        of abstraction (e.g., country, state, or datacenter). Examples        of resources include storage, processing, memory, and network        bandwidth.    -   Rapid elasticity. Capabilities can be elastically provisioned        and released, in some cases automatically, to scale rapidly        outward and inward commensurate with demand. To the consumer,        the capabilities available for provisioning often appear to be        unlimited and can be appropriated in any quantity at any time.    -   Measured service. Cloud systems automatically control and        optimize resource use by leveraging a metering capability¹ at        some level of abstraction appropriate to the type of service        (e.g., storage, processing, bandwidth, and active user        accounts). Resource usage can be monitored, controlled, and        reported, providing transparency for both the provider and        consumer of the utilized service. ¹ Typically this is done on a        pay-per-use or charge-per-use basis.

Service Models:

-   -   Software as a Service (SaaS). The capability provided to the        consumer is to use the provider's applications running on a        cloud infrastructure². The applications are accessible from        various client devices through either a thin client interface,        such as a web browser (e.g., web-based email), or a program        interface. The consumer does not manage or control the        underlying cloud infrastructure including network, servers,        operating systems, storage, or even individual application        capabilities, with the possible exception of limited        user-specific application configuration settings. ² A cloud        infrastructure is the collection of hardware and software that        enables the five essential characteristics of cloud computing.        The cloud infrastructure can be viewed as containing both a        physical layer and an abstraction layer. The physical layer        consists of the hardware resources that are necessary to support        the cloud services being provided, and typically includes        server, storage and network components. The abstraction layer        consists of the software deployed across the physical layer,        which manifests the essential cloud characteristics.        Conceptually the abstraction layer sits above the physical        layer.    -   Platform as a Service (PaaS). The capability provided to the        consumer is to deploy onto the cloud infrastructure        consumer-created or acquired applications created using        programming languages, libraries, services, and tools supported        by the provider.³ The consumer does not manage or control the        underlying cloud infrastructure including network, servers,        operating systems, or storage, but has control over the deployed        applications and possibly configuration settings for the        application-hosting environment. ³ This capability does not        necessarily preclude the use of compatible programming        languages, libraries, services, and tools from other sources.    -   Infrastructure as a Service (IaaS). The capability provided to        the consumer is to provision processing, storage, networks, and        other fundamental computing resources where the consumer is able        to deploy and run arbitrary software, which can include        operating systems and applications. The consumer does not manage        or control the underlying cloud infrastructure but has control        over operating systems, storage, and deployed applications; and        possibly limited control of select networking components (e.g.,        host firewalls).

Deployment Models:

-   -   Private cloud. The cloud infrastructure is provisioned for        exclusive use by a single organization comprising multiple        consumers (e.g., business units). It may be owned, managed, and        operated by the organization, a third party, or some combination        of them, and it may exist on or off premises.    -   Community cloud. The cloud infrastructure is provisioned for        exclusive use by a specific community of consumers from        organizations that have shared concerns (e.g., mission, security        requirements, policy, and compliance considerations). It may be        owned, managed, and operated by one or more of the organizations        in the community, a third party, or some combination of them,        and it may exist on or off premises.    -   Public cloud. The cloud infrastructure is provisioned for open        use by the general public. It may be owned, managed, and        operated by a business, academic, or government organization, or        some combination of them. It exists on the premises of the cloud        provider.    -   Hybrid cloud. The cloud infrastructure is a composition of two        or more distinct cloud infrastructures (private, community, or        public) that remain unique entities, but are bound together by        standardized or proprietary technology that enables data and        application portability (e.g., cloud bursting for load balancing        between clouds).

Source:

Peter Mell, Timothy Grance (September 2011). The NIST Definition ofCloud Computing, National Institute of Standards and Technology: U.S.Department of Commerce. Special publication 800-145.nvlpubs.nist.gov/nistpubs/Legacy/SP/nistspecialpublication800-145.pdf(accessed 26 Apr. 2019). Cloud computing aims to allow those who consumethe services (whether individuals or organizations) to benefit from theavailable technologies without the need for deep knowledge about orexpertise with each of them. Wikipedia, Cloud Computing,en.wikipedia.org/wiki/Cloud computing (accessed 26 Apr. 2019). “Cloudcomputing metaphor: the group of networked elements providing servicesneed not be individually addressed or managed by users; instead, theentire provider-managed suite of hardware and software can be thought ofas an amorphous cloud.” Id.

Cloud Service Accounts and Variability in Cloud Services.

Cloud service providers such as Amazon, Microsoft, Alibaba, Google,Salesforce, Cisco, etc. provide access to their particular cloudservices via cloud service accounts, such as corporate accounts,departmental accounts, individual user accounts, etc. Each cloud serviceaccount typically has authentication features, e.g., passwords,certificates, etc., to restrict and control access to the cloud service.Each account also might have service level guarantees and/or other termsand conditions between the cloud service provider and the servicesubscriber, e.g., a company, a government agency, an individual user. Asubscribing entity might have multiple accounts with a cloud serviceprovider, such as an account for the Engineering department, an accountfor the Finance department, an account for the Human Resourcesdepartment, other accounts for individual company users, etc., withoutlimitation. Each cloud service account carries different authentication,even though the services subscriber is the same entity.

Different cloud service accounts might differ not just in service levelguarantees, but might include different services. For example, oneaccount might include long-term storage resources, whereas anotheraccount might be limited to ordinary data storage. For example, someaccounts might have access to data processing functions supplied by thecloud service provider, such as machine learning algorithms, statisticalanalysis packages, etc., whereas other accounts might lack suchfeatures. Accordingly, the resources available to the user(s) of cloudservice accounts can vary as between accounts, even if the accounts havethe same subscriber and the same cloud service provider. Thus, the userexperience and the technologies available as between cloud serviceaccounts can vary significantly. Thus, when considering cloud computing,the specifics of cloud service accounts can play a role in theavailability and/or portability of resources. Crossing accountboundaries can pose technological barriers when considering migration ofapplications and their cloud services assets.

Cloud Availability Zones.

“Availability zones (AZs) are isolated locations within . . . regionsfrom which public cloud services originate and operate. Regions aregeographic locations in which public cloud service providers' datacenters reside. Businesses choose one or multiple worldwide availabilityzones for their services depending on business needs. Businesses selectavailability zones for a variety of reasons, including compliance andproximity to end customers. Cloud administrators can also choose toreplicate services across multiple availability zones to decreaselatency or protect resources. Admins can move resources to anotheravailability zone in the event of an outage. Certain cloud services mayalso be limited to particular regions or AZs.” Source: Margaret Rouse,Definition of Availability Zones, TechTarget,searchaws.techtarget.com/definition/availability-zones (accessed 26 Apr.2019).

Here is a vendor-specific example of how cloud service availabilityzones are organized in the Google Cloud: “Certain [Google] ComputeEngine resources live in regions or zones. A region is a specificgeographical location where you can run your resources. Each region hasone or more zones; most regions have three or more zones. For example,the us-centrall region denotes a region in the Central United Statesthat has zones us-central1-a, us-central1-b, us-central1-c, andus-central1-f. Resources that live in a zone, such as instances orpersistent disks, are referred to as zonal resources. Other resources,like static external IP addresses, are regional. Regional resources canbe used by any resources in that region, regardless of zone, while zonalresources can only be used by other resources in the same zone. Forexample, disks and instances are both zonal resources. To attach a diskto an instance, both resources must be in the same zone. Similarly, ifyou want to assign a static IP address to an instance, the instance mustbe in the same region as the static IP. Only certain resources areregion- or zone-specific. Other resources, such as images, are globalresources that can be used by any other resources across any location.For information on global, regional, and zonal Compute Engine resources,see Global, Regional, and Zonal Resources.” Source: Google Cloud Regionsand Zones, cloud.google.com/compute/docs/regions-zones/ (accessed 26Apr. 2019) (emphasis added).

Accordingly, when considering cloud computing, availability zones canplay a role in the availability and/or portability of resources.Crossing zone boundaries can pose technological barriers whenconsidering migration of applications and their cloud service assets,even when the different availability zones are supplied by the samecloud service provider.

Traditional Non-Cloud (“On-Premises”) Data Centers are Distinguishablefrom Cloud Computing.

Traditional data centers generally do not have cloud computingcharacteristics. For example, the user experience is generallydifferent, for example in regard to the name space(s) used for thestorage, computing, and network resources. Moreover, substantialincreases in resources needed by a user are not provisioned on demand. Atraditional data center is physically located within theenterprise/organization that owns it. A traditional non-cloud datacenter might comprise computing resources such as servers, mainframes,virtual servers/clusters, etc.; and/or data storage resources, such asnetwork-attached storage, storage area networks, tape libraries, etc.The owner of the traditional data center procures hardware, software,and network infrastructure (including making the associated capitalinvestments); and manages going-forward planning for the data center. Atraditional data center is staffed by professional InformationTechnology (IT) personnel, who are responsible for the data center'sconfiguration, operation, upgrades, and maintenance. Thus, a traditionalnon-cloud data center can be thought of as self-managed by itsowner/operator for the benefit of in-house users, as compared to cloudcomputing, which is managed by the cloud service provider and suppliedas a service to outside subscribers. Clearly, a cloud computing servicealso has hardware, software, and networking infrastructure andprofessionals staffing it, as well as having an owner responsible forhousing and paying for the infrastructure. However, the cloud computingservice is consumed differently, served differently, and deployeddifferently compared to non-cloud data centers. Traditional non-clouddata centers are sometimes referred to as “on-premises” data centers,because their facilities are literally within the bounds of theorganization that owns the data center. Cloud service providers' datacenters generally are not within the bounds of the subscriberorganization and are consumed “at a distance” “in the cloud.”

Accordingly, when considering cloud computing versus non-cloud datacenter deployment, the choice can play a role in the availability and/orportability of resources. Crossing boundaries between non-cloud datacenters and cloud computing can pose technological barriers. Forexample, storing a database at a non-cloud data center might requiredifferent resources and/or access features/controls than storing thedatabase at a cloud computing service. Thus, moving the database fromthe non-cloud data center to a cloud service account may require dataconversion, re-configuration, and/or adaptation that go above and beyondmerely copying the database. Conversely, moving data, applications,and/or web services from cloud computing to a non-cloud data center alsocan involve data conversion, re-configuration, and/or adaptation toensure success.

Service Models.

Differences in service models, comparing non-cloud “on-premises” datacenters versus laaS versus PaaS versus SaaS, can yield differentperformance and cost profiles. Different service models can affectresource availability and/or portability of distributed/serverlessapplications, at least because the management of different resourcesrests with different providers and governed by different terms andconditions. See, e.g., Stephen Watts, SaaS vs PaaS vs IaaS: What's TheDifference and How To Choose, BMC Blogs, BMC Software, Inc.,www.bmc.com/blogs/saas-vs-paas-vs-iaas-whats-the-difference-and-how-to-choose/(accessed 26 Apr. 2019).

Need For Technological Solutions to Obtain Coordinated Point-In-TimeCopies and Enable Migration Of Serverless/Distributed Applications.

Consistent and coordinated point-in-time copies are needed forprotecting and/or migrating distributed/serverless applications and/ordata. Moving data and/or applications between non-cloud data centers andcloud computing services, between cloud computing services (e.g., fromdifferent service providers), between cloud availability zones, and evenbetween cloud service accounts can pose technological barriers that needto be overcome. Likewise, protecting data and applications that aredistributed within or span the boundaries of non-cloud data centers,cloud computing services, cloud availability zones, and/or cloud serviceaccounts require certain technological solutions to overcome theboundary differences.

FIG. 3A is a block diagram illustrating some salient portions of asystem 300 for holistically protecting serverless applications in acloud computing environment, according to an illustrative embodiment ofthe present invention. The present figure comprises three clientcomputing devices 102, each one accessing one or more serverlessapplications 310 operating in a cloud computing environment 301. Anillustrative data storage management system 300 also operates in thecloud computing environment 301. Example cloud computing environmentsare provided by Amazon Web Services (AWS), Microsoft Azure, GoogleCloud, Alibaba Cloud, etc., without limitation (see also Appendix A).The bold arrows from each serverless application to data storagemanagement system 300 represent data protection operations provided bysystem 300 according to one or more illustrative embodiments, e.g.,various kinds of backup operations, continuous replication, livesynchronization, etc., without limitation.

System 300 is a data storage management system analogous to system 100and enhanced to provide holistic protection for serverless applicationsdistributed across one or more cloud computing environments and/ornon-cloud data centers. Thus, the illustrative embodiments are notlimited to cloud-based solutions. System 300 comprises certaincomponents for data protection, such as a storage manager, a managementdatabase, data agents(s), media agent(s), and optionally secondarystorage for storing copies of the subject serverless applications. Thepresent figure depicts system 300 operating within the cloud computingenvironment 301, meaning that the system's components operate within thesame cloud computing environment 301 that hosts the serverlessapplications, but system 300 is not so limited, as described in moredetail elsewhere herein. Although system 300 is shown here within thecloud computing environment 301, it need not operate within the samecloud account as the subject application, without limitation.

FIG. 3B is a block diagram illustrating some salient portions of system300 for holistically protecting serverless applications from a cloudcomputing environment, wherein system 300 operates outside the cloudcomputing environment 301 that hosts the subject serverless applications310, according to an illustrative embodiment. Data storage managementsystem 300 as depicted here operates outside the cloud computingenvironment 301 that hosts the serverless applications 310, such as in anon-cloud data center, in another cloud availability zone of the samecloud service provider (e.g., Amazon East versus Amazon West), or inanother service provider's cloud computing environment altogether (e.g.,Microsoft Azure), without limitation. In some embodiments, system 300comprises one or more components that are instantiated within the cloudcomputing environment 301 that hosts the subject applications, such asdata agents, while other components (e.g., storage manager and/or mediaagents) operate outside the cloud 301. In other embodiments, allcomponents of system 300 are implemented outside the applications' cloudcomputing environment 301.

FIG. 3C is a block diagram illustrating some salient portions of system300 for holistically protecting serverless applications from a pluralityof cloud computing environments, wherein system 300 operates outside thecloud, according to an illustrative embodiment. The present figuredepicts an illustrative multi-cloud environment in which different cloudcomputing environments (e.g., 301 A and 301B) host serverlessapplications 310, all of which are protected by data management system300. Thus, data storage management system 300 is configured to protect aplurality of serverless applications 310 from a variety of source clouds301, without limitation. FIG. 14 depicts another multi-cloudconfiguration in which a serverless application 310 operates frommultiple clouds, i.e., has application assets distributed outside itshome cloud computing environment—and system 300 is configured to protectsuch applications as well.

FIG. 3D is a block diagram illustrating some salient portions of system300 for holistically protecting a serverless application in a firstcloud computing environment 301A and migrating the serverlessapplication to a second cloud computing environment 301B, according toan illustrative embodiment. The present figure depicts data storagemanagement system 300 configured to protect a serverless application 310and restore it to the same source cloud computing environment 301A.System 300 is further configured to manage migration of the serverlessapplication 310 from one cloud computing environment (e.g., 301A) to oneor more other computing environments (e.g., 301B), such as to othercloud availability zone(s), to another service provider's cloudcomputing environment, and/or to a non-cloud data center. System 300 isfurther configured to manage migration of a serverless application 310from one cloud service account to another service account, though notdepicted in the present figure. Migration of applications from non-clouddata centers to cloud computing is also supported by system 300 incertain embodiments, though not depicted in the present figure.

FIG. 4 is a block diagram illustrating some salient assets of aserverless application 310 that is protected by data storage managementsystem 300, according to an illustrative embodiment. The present figuredepicts a client computing device 102 accessing a serverless application310, which is protected by data storage management system 300, i.e.,backed up using one or more storage management operations. Theserverless application 310 comprises assets, i.e., resources that ituses in whole or in part to perform its functionality. The depictedserverless application comprises the following illustrative assets: agateway 421; data storage 422; computing resources 423; databases 424;native cloud applications such as web sites and others 425; virtualmachines 426; etc. without limitations. More cloud computing assets arepresented and discussed in FIG. 12. Notably, the assets depicted hereare logically part of the serverless application 310, but they are notnecessarily in the same cloud computing environment. For example, one ormore databases could be in another computing environment, whether cloudor non-cloud; likewise, data storage might be in yet another computingenvironment, whether cloud or non-cloud. As is shown herein, datastorage management system 300 discovers the application's assetsregardless of where they reside/operate and treats them collectively asan application entity. See also FIGS. 13 and 14 for more details on anexemplary application service definition associated with an application310.

Gateway function 421 provides client computing devices with API-basedaccess to the application 310. Gateway functions are specific to thecloud computing environment (e.g., 301) hosting application 310, as wellas being specific to the application itself, e.g., including accesscontrols and permissions. Although each gateway function 421 is specificto its protected target, technologies for gateways 421 are well known inthe art.

Data storage 422 depicts one or more data storage resources associatedwith application 310, including high-speed “local” and temporarystorage, as well as slower lower-cost storage. Data storage resourcetechnologies, whether cloud-based or non-cloud, are well known in theart.

Computing resources 423 depict any number of data processing resourcesavailable for application 310 to consume. For example, Amazon AWSprovides so-called “Lambda functions” defined as “anonymous computingfunctions not bound to an identity” and made available as containerizedinstances that are executed when an event is triggered. Seeen.wikipedia.orq/wiki/AWS Lambda (accessed Oct. 17, 2019). “Each suchexecution is run in a new environment so access to the execution contextof previous and subsequent runs is not possible.” Id. Other cloudservice providers have their own suites of cloud computing services areresources. An application designer chooses features from pre-existingcomputing resources 423 to use by application 310 as needed. Computingresources 423 are well known in the art.

Databases 424 depict any number of database data repositories with orwithout an associated database management system. Again, an applicationdesigner chooses data and/or features from databases 424 to use byapplication 310 as needed. For example, a census database and anassociated database management system for searching and manipulatingdata therein. Proprietary and open source DBMSs are available ascloud-based databases-as-a-service (DBaaS). Typically, a customeractivates one or more instances of one or more desired DBaaS (e.g.,MySQL, Oracle, PostgreSQL, Microsoft SQL, Aurora, Maria DB, Dynamo DB,Redshift, Data Lake, Microsoft Office 365 Suite, Cosmos DB, MongoDB, IBMDB2, etc.) in a cloud computing account, thus obtaining immediate accessto a fully featured DBMS. The term “DBMS” is used herein to identify thekind of database management system (e.g., MySQL, Oracle, DB2, etc.),whereas the term “DBaaS” is used herein to refer to a DBMS served as aservice in a cloud computing environment. Accordingly, a MySQL DBMSmight execute as a first DBaaS instance, a PostgreSQL DBMS might executeas a second DBaaS instance, and a second PostgreSQL DBMS (the same ordifferent version as the first) might execute as a third DBaaS instance.And so on.

Native cloud applications 425 depict any number of readily availableapplications such as web sites, web service, and others that are wellknown in the art. Again, an application designer chooses data and/orfeatures from native cloud applications 425 to use by application 310 asneeded.

Virtual machines 426 represent virtualized computing resources availableto application 310, such as for executing the application's custom codethat aggregates the application's functionality (e.g., providing weatherforecasts to consumers). Virtualized computing resources can be spun upand spun down on demand, enabling applications 310 to scale-out withdemand. Virtual machines 426 are well known on the art.

Thus, although the kinds of assets described herein are well known inthe art, the architecture of each application 310 is defined by itsdesigner/implementers and likewise application 310's functionality. Datastorage management system 300 is designed to intelligently and flexiblycapture and protect each serverless application 310, regardless of itsunique architecture and feature functionality, as described in furtherdetail herein.

FIG. 5A is a block diagram illustrating some salient portions of system300 protecting a serverless application 310 comprising a plurality ofassets, according to an illustrative embodiment. As shown in FIG. 4, theserverless application 310 comprises assets that are logically part ofor associated with the application, but do not necessarily reside and/oroperate in the same cloud computing environment. Data storage managementsystem 300 illustratively comprises: storage manager 540, managementdatabase 546, data agents 542, media agents 544, and any number ofpoint-in-time copies 516 of the application entity (i.e., sets of copiesof application assets). The data storage resources for storing thepoint-in-time copies 516 are not necessarily part of system 300, such ascloud-based storage that is accessible to but not included in system300. Any kind of suitable data storage devices, systems, configurations,and/or resources can be implemented to store point-in-time copies 516.Moreover, system 300 is further configured to apply additional storageoperations to copies 516, such as making auxiliary copies, makingarchive copies, replicating copies 516, live synchronizing copies 516,etc., without limitation.

Data agents 524. The present figure depicts data agents 542, which areanalogous to data agents 142 and comprise additional features foroperating in system 300. For example, different types of data agent 542are invoked for protecting different kinds of application assets. Forexample, a data agent specialized for Oracle databases might be invokedfor protecting an Oracle database, whereas a data agent for protectingfiles and file systems might be invoked for protecting the applicationconfiguration file(s) of a native cloud application.

Media agents 544 are invoked for generating secondary copies 516 andstoring them to suitable secondary storage within or outside the cloudcomputing environment that hosts application 310. Media agents 544 areanalogous to media agents 144 and additionally comprise features forreceiving, coordinating, indexing, and tracking sets of copies 516 thatcorrespond to a certain point-in-time view of application 310.

Storage manager 540 is generally responsible for managing system 300,including managing storage management operations, invoking andinstructing components such as data agents 542 and media agents 544, andtracking secondary copies 516. Storage manager 540 is analogous tostorage manager 140 and, as shown in the next figure, storage manager540 also has certain features specifically designed for protecting,restoring, and/or migrating serverless distributed applications.

It should be noted that, although data agents 542 and media agents 544are components of data storage management system 300, they might operatein distinct computing environments. For example, in some embodiments,storage manager 540 invokes data agents 542 in the same cloud computingenvironment as the target assets, generally for performance reasons; andstorage manager 540 invokes media agents 544 in a different computingenvironment, e.g., in a non-cloud data center where the secondarystorage is located—and also for performance reasons. Thus, although dataagents, media agents, management database, and storage manager are allcomponents of a system 300, they need not operate in the same computingenvironment nor do they have to co-operate or co-reside with the targetdata sources and/or data destinations. The architecture of system 300provides for flexibility, scalability, and configurability to meet theneeds for each serverless/distributed application scenario. Althoughmuch of the discussion herein invokes cloud computing terminology,certain embodiments operate within and between traditional non-clouddata centers, e.g., supporting migration of distributed applicationsbetween non-cloud data centers.

FIG. 5B is a block diagram illustrating some salient portions of system300, including storage manager 540 and management database 546,according to an illustrative embodiment.

Storage manager 540 is specially configured with features for collectinginformation about application assets and for orchestrating backup,restore, and/or migration of serverless applications. The former featureis illustratively implemented as an application collection layer 560.The latter feature is illustratively implemented as an applicationentity orchestration layer 570. Layer 560 and layer 570 are shown hereas distinct functional modules to ease the reader's understanding of thepresent disclosure, but the invention is not so limited. In someembodiments, one or more of these features are implemented in one ormore other components, such as a proxy server, a media agent, a dataagent, etc., without limitation. For example, and without limitation, aproxy server that comprises data agents and media agents also couldcomprise application collection layer 560.

Management database 546 comprises a number of new and/or changed datastructures needed for system 300, including without limitation: anapplication entity definition 552; an application asset mapping 554;preferences 556 applicable to the application entity such as policiesfor backups, replication, live synchronization, Recovery Point Objective(RPO), etc.; and indexing information 558 that associates and trackssets of copies 516 that are associated with a particular point-in-timeview of serverless application 310. These are depicted here as distinctdata structures to ease the reader's understanding of the presentdisclosure, but the invention is not so limited. Moreover, in someembodiments, some or all of these data structures are also stored inother system components, such as indexing information retained in mediaagents, etc.

FIG. 6 depicts some salient operations of a method 600 according to anillustrative embodiment. Method 600 is generally performed by one ormore components of data storage management system 300. System 300 isconfigured to:

-   -   Discover information about a serverless distributed application,        including acquiring credentials to access the application's        cloud service account and discovering application assets and        asset dependencies (block 602 and FIG. 7A);    -   Define a corresponding application entity in the data storage        management system (block 602 and FIG. 7B);    -   Define storage management preferences (e.g., policies) for the        application entity as a whole, which apply to the application's        assets collectively. Preference examples include storage        policies, schedule policies, retention policies, destinations        for copies, deduplication preferences, recovery point objective        (RPO), etc. (block 604);    -   Perform storage management operations upon the application        entity, resulting in a point-in-time set of copies of        application assets. Operations include one or more backups,        replication, live synchronization, etc., without limitation        (block 606 and FIGS. 8A, 8B, and 9);    -   Restore the application to the source cloud computing        environment using a point-in-time set of copies of application        assets (block 608); and    -   Migrate the application to another computing environment        (different from the source) using a point-in-time set of copies        of application assets and apply conversion as needed to        re-activate the application in its new environment (block 610        and FIG. 10).        More details regarding these features are given in other        figures. Block 608 is similar to block 610, but instead of        migrating data to a destination different from the source, it        performs some of the same operation in reference to the same        computing environment of the source application 310. A person        having ordinary skill in the art will know how to perform block        608 after reading and understanding the present disclosure.

FIG. 7A depicts some salient operations of block 602 in method 600.Block 602 is directed to discovering information about a “serverless”distributed application 310 and defining a corresponding applicationentity in data storage management system 300. The operations of block602 are illustratively performed by storage manager 540, e.g., usingapplication collection layer 560, but the invention is not so limited.The operations of block 602 continue in FIG. 7B.

At block 702, method 600 exposes a cloud service account to storagemanager 540. This operation may be a “push” performed from the cloudservice account configured with a backup destination. In someembodiments, this operation is a “pull” by storage manager 540 becomingaware of a new protection target. In some embodiments, URLs and accesscredentials are administered into storage manager 540 by administratorsbefore storage manager 540 can gain access to the cloud service account.

At block 704, method 600 selects an application 310 from the cloudservice account's catalog. Again, this operation may be a “push”performed from the cloud service account configured to communicate withstorage manager 540. In some embodiments, this operation is a “pull” bystorage manager 540 exploring the cloud service account.

At block 706, storage manager 540 gains access to the application'scloud services definition in the cloud service account. Storage manager540 comprises a number of features for exploring cloud service accountsto find cloud services definitions, e.g., knowing how and where to findcloud services definitions (or the equivalent thereof) in differentcloud service accounts.

At block 708, method 600, e.g., using application collection layer 560,discovers the application's cloud assets, e.g., based on a cloudservices definition in the cloud service account. When an express cloudservices definition is not readily discernible, application collectionlayer 560 is configured to explore information associated withapplication 310 in the cloud service account and to infer what its cloudassets might be.

At block 710, method 600, e.g., using application collection layer 560,determines dependencies among the application's assets, e.g., based onthe cloud services definition in the cloud service account. When anexpress cloud services definition is not readily discernible,application collection layer 560 is configured to explore informationassociated with application 310 in the cloud service account and toinfer what the dependencies might be. For example, layer 560 determinesthat a data processing function F depends upon (a) user-inputconfiguration parameters C and (b) additional data extracted from adatabase D. Accordingly, layer 560 determines that function F depends onassets C and D.

At block 712, blocks 702-710 repeat if the application is distributedacross other cloud service accounts, cloud accessibility zones, cloudservices, and/or non-cloud data center environments. Control then passesto block 714 in FIG. 7B.

FIG. 7B depicts some additional salient operations of block 602 inmethod 600, continuing from FIG. 7A.

At block 714 of method 600 storage manager 540 creates an applicationentity in the data storage management system 300 having a unique entityidentifier, e.g., weather_app_2019. Illustratively the definition isstored in management database 546.

At block 716, storage manager 540 generates an application entitydefinition 552 comprising the discovered cloud assets, configurations,properties, permissions, governance, regulatory restrictions, costconsiderations, etc. Generally, the entity definition 552 comprisesparameters and information to know about corresponding serverlessapplication 310. At least some of the contents of definition 552 areused by system 300 to protect, restore, and/or migrate application 310.

At block 718, an asset mapping 554 is created for the application thatdefines dependencies among the cloud assets of the application. See alsoblock 710. Illustratively, application collection layer 560 generatesthe application asset mapping 554 that captures dependencies gleanedduring the asset discovery process. These relationships are stored inthe asset mapping 554 and they may affect an “order of operations,”which is used when the storage management operation is initiated. Forexample, the order of operations might capture the user-inputconfiguration parameters C first, followed by capturing the database D,followed by capturing the data processing function's executable files(e.g., binaries, etc.) in that order. In some embodiments, the order ofoperations is stored within or in association with the asset mapping. Inother embodiments, the order of operations is determined on demand, whenthe storage management operation is initiated. In configurations wherelayer 560 executes at a component apart from storage manager 540, e.g.,at a media agent 544, at a data agent 542, the component transmits assetmapping 552 to storage manager 540, which stores it to managementdatabase 546.

At block 720, storage manager 540 receives and/or generates preferences556 for the application entity, e.g., backup, replication, destination,RPO, etc. These are provided by an administrator, downloaded from atemplate, and/or defaulted into storage manager 540 and are stored inmanagement database 546.

At block 722, storage manager 540 stores application entity definition552, asset mapping 554, preferences 556, and any other ancillary datastructures to management database 546.

FIG. 8A depicts some salient operations of block 606 in method 600.Block 606 is generally directed to performing storage managementoperations upon the application entity, resulting in a point-in-time setof copies of application assets. The operations of block 606 areillustratively performed by one or more of the components of system 300,including storage manager 540, data agents 542, and media agents 544,resulting in a coordinated (point-in-time) set of secondary copies 516.The operations of block 606 continue in FIG. 8B and FIG. 9 (block 808).

At block 802, based on a storage management preference 556 for theapplication entity, an appropriate storage management operation isinitiated, e.g., backup, replication, live synchronization, etc.Illustratively, storage manager 540 initiates the operation, which maybe based on timing or criteria that have been satisfied to trigger theoperation.

At block 804, storage manager 540 identifies assets for the applicationentity, e.g., based on the application entity definition 552 and/orasset mapping 554 in the management database 546. One or more assets421-426 etc. are identified here.

At block 806, based on the dependencies in the application asset mapping554, storage manager 540 defines an order of operations, as described inblock 718.

At block 808, for each application asset in the application assetmapping 554 and using the order of operations determined at block 802,the storage management operation is performed as instructed, resultingin a point-in-time set of copies 516 of application assets. More detailsare given in FIG. 9. Control passes to block 820 in FIG. 8B.

FIG. 8B depicts some additional salient operations of block 606 inmethod 600 continued from FIG. 8A.

At block 820, media agent 544 stores the point-in-time set of copies 516to secondary storage according to the preference that triggered thestorage management operation, e.g., same-cloud storage, different-cloudstorage, and/or data center, etc.

At block 822, media agent 544 generates and indexes associations amongthe application 310, the time of the storage management operation (thepoint-in-time), and the asset copies 116 in the point-in-time set 516.This step aggregates the distinct operations into a coordinated set 516that represents the point-in0time view of application 310.

At block 824, method 600 stores the information (e.g., associations andindexing information) to the management database 546, media agent(s)544, and/or secondary storage. In some embodiments, the storedinformation is distributed among distinct components, e.g., pointers tomedia agent 544 stored at management database 546, pointers to the set516 stored at media agent 544, etc., without limitation.

At block 826, method 600 reports performance statistics collected duringthe operation with respect to application 310, e.g., recommendingchanges to protection schedules to better align with applicationprotection. In some embodiments, the data storage management system 300(e.g., storage manager 540) recommends an improved and coordinatedschedule for protecting the various assets that are associated withapplication 310. For example, if a certain database is associated withapplication 310, it will be backed up according to the preferences forthe application-entity. But it might also be protected according topreferences for the database entity itself, thus creating separaterounds of backup operations for the same database. The storage manager540 will generate recommendations for a coordinated schedule thatunifies the database backups and reduces redundancies. The coordinatedschedule will be recommended to system administrators for approval. Inalternative embodiments, the coordinated schedule will be automaticallyimplemented when the system detects a redundancy betweenapplication-entity protection and individual asset protection, withoutlimitation.

At this point, method 600 ends and the present storage managementoperation is complete in regard to application 310.

FIG. 9 depicts some salient operations of block 808 in block 606 ofmethod 600. Block 808 is generally directed to, for each applicationasset in the application asset mapping, and using the order ofoperations, performing the storage management operation as instructed.Notably, the storage management operation may comprise a number ofdistinct operations, one or more operations targeting each individualasset. Coordination among them is performed by application entityorchestration layer 570. For example, and in reference to FIG. 5A,storage manager 540, e.g., using application entity orchestration layer570, instructs each data agent 542 associated with an asset ofapplication 310 to quiesce the asset, if applicable, take a snapshot, ifapplicable, process the source data from the respective asset, andtransmit the processed source data to the media agent 544 assigned tothe operation. Storage manager 540, e.g., using application entityorchestration layer 570, instructs media agent 544 to further processthe data received from the data agents into a set of secondary copies516. The set 516 comprises one or more secondary copies 116 created fromeach of the assets of application 310.

At block 902, based on the order of operations, storage manager 540invokes and instructs a first data agent 542 and one or more first mediaagents 544 to generate first copies of a first application asset, e.g.,422. In some cloud computing environments, data agents 542 are keptdormant in between storage operations and are invoked on demand asneeded. Likewise in regard to media agents 544. This is made possible byusing virtualized resources available in the cloud computing environmentto run resources only as needed. Alternatively, data agents 542 andmedia agents 544 are always on, which is typical in non-cloud datacenters.

At block 904, further based on the order of operations, storage manager540 invokes and instructs a next data agent 542 and one or more mediaagents 544 to generate corresponding copies of a next application asset,e.g., 423, sequentially or in parallel, until the order of operation hasbeen traversed.

At block 906, the point-in-time set 516 of copies of application assets,which are mutually consistent in time, is generated.

FIG. 10 depicts some salient operations of block 610 in method 600.Block 610 is generally directed to migrating the application to acomputing environment (cloud, or non-cloud) different from theapplication source environment using a point-in-time set 516 of copiesof the application assets that were generated and stored at block 606.The operations of block 610 are illustratively performed by one or moreof the components of system 300, including storage manager 540, dataagents 542, and media agents 544.

At block 1002, method 600 exposes a cloud service account to storagemanager 540, which is in a different cloud computing environment fromthe source application 310. This block is similar to block 702.

At block 1004, method 600 identifies a point-in-time set of copies ofthe application assets. This operation may be based on input received bystorage manager 540 from a user seeking to migrate a certainpoint-in-time backup (e.g., dated Monday Oct. 14, 2019) of anapplication entity (e.g., weather_app_2019) to a new destination.

At block 1006, based on the dependencies in the application assetmapping 554 for the application entity, the storage manager 540 definesan order of operations. See also block 718, 806. The order of operationsmay differ from an order of operation determined for the data protectionoperation at blocks 718, 806.

At block 1008, based on the order of operations, storage manager 540instructs a first data agent 542 and first media agent(s) 544 tomigrate, from a set 516, first copies 116 of a first application assetto the destination cloud service account and/or non-cloud data center.This may include data conversion, if applicable, in cases where simplyrestoring the copy 116 is not enough to make it operational at thedestination. For example, configuration parameters may have to betranslated from source to destination. Sizing parameters may have to beadjusted, etc.

At block 1010, further based on the order of operations, storage manager540 instructs a next data agent 542 and media agent(s) 544 to migratecorresponding copies 116 of a next application asset, until the order ofoperations is traversed. Thus, other copies 116 from set 516 arerestored, which again, may require conversion as needed.

At block 1012, method 600 generates a suitable cloud services definitionfor the restored application 310 comprising the restored applicationassets. This step is used when the destination is a cloud computingenvironment but may be applied for non-cloud data centers as well. Insome embodiments, conversion of configuration parameters may be neededfrom one cloud computing environment to another. Storage manager 540,e.g., using application entity orchestration layer 570, is configured toanalyze source and destination in a migration operation, determinedifferences, determine suitable conversions, and apply the conversionsas needed. At this point, the application migration is complete and thepoint-in-time version of the application 310 available at thedestination, bringing method 600 to an end.

FIG. 11 depicts an illustrative order of operations 1101 that might beemployed in a storage management operation such as a full backup, anincremental backup, a replication, a live synchronization, etc. Thedepicted order is not limiting. The order of operations is based ondependencies among application assets, e.g., captured in asset mapping554. The order of operations need not be linear or single-threaded andallows for parallel operations when assets are not dependent. As notedin FIG. 10, an order of operations in a restore or migration operationmay differ from the order of operations used in the original protection(e.g., backup etc.) operation of FIG. 7A/7B. Hence, preferably, theorder of operations 1101 is determined on demand at the time the storagemanagement operation is initiated, though the invention is not solimited.

FIG. 12 depicts an illustrative list 1201 (catalog, inventory) of cloudassets of an application 310 configured in a cloud account. This list inincluded here for illustrative purposes and is neither limiting norexclusive. Different assets are used for different serverlessapplications, and they may carry different names or designationsdepending on the cloud service provider's nomenclature. Some examples ofapplication assets are shown in FIG. 4.

FIG. 13 depicts an illustrative serverless distributed applicationservice definition in a cloud account. This figure depicts: a clientcomputing device 102 in communication with a cloud computing gateway421. The arrows depict illustrative logical data paths among theapplication assets. Accordingly, data input/triggers from the gateway421 are transmitted to first computing resources 423A (e.g., a lambdafunction) that applies a first round of data processing; the resultspass to second computing resources 423B that additionally obtain datafrom an algorithms database 424 and produce a second round of “final”results, which are stored to temporary data storage 1308. The finalresults are then stored to persistent data storage 1309. The finalresults are transmitted back to the gateway 421, which takes care oftransmitting them to the client computing device 102, thus completing anexecution cycle of the serverless application 310.

This diagram not only depicts the functions and logical data flows, butalso provides a basis for determining dependencies. Thus, as depictedhere and without limitation, computing resources 423 depend fromcomputing resources 423 A and from database 424, whereas output 1308depends from computing resources 423B. Thus, as depicted here andwithout limitation, an illustrative order of operations for dataprotection operations would be: (i) database 424; (ii) computingresources 423A; (iii) computing resources 423B; (iv) output 1308; and(v) output 1309, wherein (i) and (ii) can be performed in parallel. In arestore or migration operation, an illustrative restore/migration orderof operations would be: (v), (iv), (iii), (ii), and (i), wherein (i) and(ii) can be performed in parallel. Depending on different cloudcomputing environments one or more parameters from gateway function 421also are backed up, and then restored, converted, and/or migrated asappropriate. The ordering of handling the one or more parameters fromgateway function 421 relative to handling the other application assetsdepends on how the source and destination environments are configured.

FIG. 14 depicts an illustrative service definition of a serverlessapplication 310 that is distributed across multiple computingenvironments. This figure depicts the same assets shown in FIG. 13, andadditionally shows that the assets reside in different computingenvironments, i.e., this figure depicts a multi-cloud serverlessapplication. Illustratively, the gateway 421, the computing resources423A and 423B, and the temporary data storage 1308 reside in cloudcomputing environment 301A; the algorithms database 424 resides in cloud301B (e.g., cloud storage); and the persistent storage 1309 for finalresults resides in cloud C and/or a non-cloud data center 1401 distinctfrom clouds 301A and 301B. This depiction is shown here to ease thereader's understanding of the present disclosure, and any number ofcombinations and permutations are possible in other embodiments. System300 is configured to protect, restore, and migrate a serverlessapplication 310 in this or any other distributed configuration, bydeploying its components appropriately as described in more detailelsewhere herein.

In regard to the figures described herein, other embodiments arepossible within the scope of the present invention, such that theabove-recited components, steps, blocks, operations, messages, requests,queries, and/or instructions are differently arranged, sequenced,sub-divided, organized, and/or combined. In some embodiments, adifferent component may initiate or execute a given operation.

Example Embodiments

Some example enumerated embodiments of the present invention are recitedin this section in the form of methods, systems, and/or non-transitorycomputer-readable media, without limitation.

According to an illustrative embodiment, a method for protecting aserverless application operating in a cloud computing environmentcomprises: by a first computing device (e.g., storage manager),generating a list of assets associated with a first applicationoperating in a first cloud computing environment accessed by a firstcloud service account, wherein the first computing device comprises oneor more hardware processors; by the first computing device, generating afirst application-entity definition that corresponds to the firstapplication and comprises the list of assets associated with the firstapplication; by the first computing device, initiating a storagemanagement operation for the first application-entity, wherein thestorage management operation generates a first set of copies of theassets associated with the first application; and wherein the first setof copies represent a point-in-time copy of the first application at atime when the storage management operation was initiated for the firstapplication-entity. The above-recited method, wherein the list of assetsassociated with the first application are discovered by the firstcomputing device after accessing the cloud service account. Theabove-recited method, wherein the list of assets associated with thefirst application are discovered by the first computing device based ona cloud services definition in the cloud service account. Theabove-recited method further comprising: by the first computing device,based on determining one or more dependencies among the assetsassociated with the first application, generating an asset mapping forthe first application-entity that comprises the one or moredependencies. The above-recited method wherein the first set of copiesare generated according to a first order of operations based on the oneor more dependencies among the assets associated with the firstapplication. The above-recited method, wherein the firstapplication-entity definition is stored in a database associated withthe first computing device. The above-recited method further comprising:storing in the database one or more preferences for protecting the firstapplication-entity. The above-recited method, wherein the initiating ofthe storage management operation for the first application-entity isbased on one or more preferences associated with the firstapplication-entity. The above-recited method, wherein the storagemanagement operation is initiated based on a preference associated withthe first application-entity. The above-recited method furthercomprising: based on the definition of the first application-entity,determining by the first computing device the assets associated with thefirst application.

The above-recited method further comprising: by the first computingdevice, invoking a first data agent suitable for protecting a firstasset associated with the first application; by the first computingdevice, invoking a media agent to receive data from the first dataagent, generate a first copy of the first asset, and store the firstcopy of the first asset to a storage device; by the first computingdevice, invoking a second data agent that is suitable for protecting asecond asset associated with the first application; by the firstcomputing device, invoking a media agent to receive data from the seconddata agent, generate a second copy of the second asset, and store thesecond copy to a storage device; and by the first computing device,generating an association among (a) the first application-entity, (b) atime when the storage management operation for the firstapplication-entity was initiated, and (c) a set of copies of the assetsassociated with the first application, including the first copy and thesecond copy. The above-recited method further comprising: by the firstcomputing device, invoking a first data agent suitable for protecting afirst asset associated with the first application, wherein the firstasset is selected according to an order of operations; by the firstcomputing device, invoking a media agent to receive data from the firstdata agent, generate a first copy of the first asset, and store thefirst copy of the first asset to a storage device; by the firstcomputing device, invoking a second data agent that is suitable forprotecting a second asset associated with the first application, whereinthe second asset is selected according to the order of operations; bythe first computing device, invoking a media agent to receive data fromthe second data agent, generate a second copy of the second asset, andstore the second copy to a storage device; and by the first computingdevice, generating an association among (a) the firstapplication-entity, (b) a time when the storage management operation forthe first application-entity was initiated, and (c) a set of copies ofthe assets associated with the first application, including the firstcopy and the second copy. The above-recited method, wherein the storagemanagement operation comprises at least one of: a full backup of thefirst application-entity; an incremental backup of the firstapplication-entity; and a differential backup of the firstapplication-entity. The above-recited method, wherein the storagemanagement operation comprises at least one of: continuous replicationof the first application-entity; and live synchronization of the firstapplication-entity. The above-recited method, wherein the assetsassociated with the first application comprise at least one of: avirtual computing environment, a template for the virtual computingenvironment, secure login information, storage for temporary data,persistent storage, metadata, virtual network resources and/orconfigurations, a snapshot, a security group, a configuration file, alambda function, a native cloud application, a virtual machine, adatabase, a file storage resource, a block storage resource.

Recommend a Coordinated Backup Schedule.

The above-recited method, wherein the first computing device isconfigured to generate a coordinated schedule for backing up an asset ofthe first application, wherein the asset is configured as a distinctasset-entity in the data storage management system with preferences forprotecting the asset-entity that are distinct from preferences forprotecting the application-entity, and wherein the coordinated schedulecoordinates timing of storage management operations for theapplication-entity and for the asset-entity such that copies of theasset-entity are generated concurrently with copies of theapplication-entity. The above-recited method, wherein the firstcomputing device is configured to generate a coordinated schedule forbacking up a database that is an asset of the first application, whereinthe database is configured as a distinct entity in the data storagemanagement system with preferences for protecting the database that aredistinct from preferences for protecting the application-entity, andwherein the coordinated schedule coordinates timing of storagemanagement operations for the application-entity and for the databasesuch that copies of the database are generated concurrently with copiesof the application-entity.

Computing Device Alternatives.

The above-recited method, wherein the first computing device operates ina non-cloud data center that is distinct from the first cloud computingenvironment of the first application. The above-recited method, whereinthe first computing device comprises a virtual computing resource thatexecutes in the first cloud computing environment. The above-recitedmethod, wherein the first computing device comprises a virtual computingresource that executes in a second cloud computing environment differentfrom the first cloud computing environment. The above-recited method,wherein the first computing device comprises a virtual computingresource that executes in a different availability zone from the firstcloud computing environment. The above-recited method, wherein the firstcomputing device comprises a virtual computing resource that executes ina different cloud service account from the first cloud service accountin the first cloud computing environment.

Data Storage Alternatives.

The above-recited method, wherein the first set of copies of the assetsassociated with the first application are stored in storage resources inthe first cloud computing environment. The above-recited method, whereinthe first set of copies of the one or more cloud assets associated withthe first application are stored in storage resources in a second cloudcomputing environment different from the first cloud computingenvironment. The above-recited method, wherein the first set of copiesof the one or more cloud assets associated with the first applicationare stored in a different availability zone from the first cloudcomputing environment. The above-recited method, wherein the first setof copies of the one or more cloud assets associated with the firstapplication are stored to storage resources in a non-cloud data centerthat is distinct from the first cloud computing environment. Theabove-recited method, wherein the first set of copies of the one or morecloud assets associated with the first application are stored in storageresources accessible by a different cloud service account from the firstcloud service account.

Restore the App to the Same Cloud Account.

The above-recited method further comprising: causing by the firstcomputing device the first set of copies to be restored to the firstcloud computing environment; and activating the first application at thefirst cloud service account, wherein the first application uses assetsrestored from first set of copies.

Migrate the App to Another Cloud Account.

The above-recited method further comprising: causing by the firstcomputing device the first set of copies to be migrated to a secondcloud computing environment, based at least in part on generating acloud service definition in the second cloud computing environment fromat least one of: (a) the application-entity; and activating the firstapplication in the second cloud computing environment, wherein the firstapplication uses assets migrated from first set of copies.

Two Applications with Overlapping Assets.

The above-recited method further comprising: by the first computingdevice, discovering assets associated with a second applicationoperating in the first cloud computing environment, wherein at least oneasset associated with the first application is also associated with thesecond application; by the first computing device, generating a list ofassets associated with the second application; by the first computingdevice, generating a second application-entity definition thatcorresponds to the second application and comprises the list of assetsassociated with the second application; by the first computing device,initiating a second storage management operation for the secondapplication-entity, based on a set of preferences for the secondapplication-entity, and resulting in a second set of copies of theassets associated with the second application including at least onecopy of the at least one asset associated with the first application isalso associated with the second application; and wherein the second setof copies represent a point-in-time copy of the second application at atime when the second storage management operation was initiated for thesecond application-entity.

Multi-Cloud App.

According to another exemplary embodiments, a method for protecting aserverless application operating in multiple cloud computingenvironments comprises: by a first computing device, generating a listof first assets associated with a first application operating in a firstcloud computing environment accessed by a first cloud service account,wherein the first computing device comprises one or more hardwareprocessors; by the first computing device, generating a firstapplication-entity definition that corresponds to the first applicationand is associated with the list of first assets associated with thefirst application; by the first computing device, discovering in asecond cloud computing environment second assets associated with thefirst application; by the first computing device, associating the firstapplication-entity with the second cloud assets associated with thefirst application. The above-recited method further comprising:initiating by the first computing device a storage management operationfor the first application-entity, wherein the storage managementoperation generates a first set of copies of the first assets and of thesecond assets associated with the first application; and wherein thefirst set of copies represent a point-in-time copy of the firstapplication at a time when the storage management operation wasinitiated for the first application-entity.

Restore the Multi-Cloud App to the Same Cloud Accounts.

The above-recited method further comprising: causing by the firstcomputing device the first set of copies to be restored, wherein some ofthe first set of copies corresponding to the first assets are berestored to the first cloud computing environment, and further whereinsome of the first set of copies corresponding to the second assets arerestored to the second cloud computing environment; and activating thefirst application at the first cloud service account, wherein the firstapplication uses the restored first cloud assets in the first cloudcomputing environment and the restored second assets in the second cloudcomputing environment.

Migrate the Multi-Cloud App to Another Cloud Account.

The above-recited method further comprising: causing by the firstcomputing device the first set of copies to be migrated to a third cloudcomputing environment that is distinct from the first and the secondcloud computing environments; and activating the first application atthe third cloud computing environment, wherein the first applicationuses third cloud assets corresponding to the first and the second assetsbased on a cloud services definition that is suitable for the thirdcloud computing environment. The above-recited method, wherein migratingthe first set of copies to the third computing environment comprisesconverting an asset mapping associated with the first application-entityinto the cloud services definition that is suitable for the third cloudcomputing environment.

Migrate the Multi-Cloud App to a Non-Cloud Data Center Instead of Cloud.

The above-recited method further comprising: causing by the firstcomputing device the first set of copies to be migrated to a non-clouddata center that is distinct from the first and the second cloudcomputing environments; and activating the first application at thenon-cloud data center, wherein the first application uses third assetsconfigured from the first and the second assets to configurationssuitable to the non-cloud data center. The above-recited method, whereinmigrating the first set of copies to the non-cloud data center comprisesconverting an asset mapping associated with the first application entityinto the configurations suitable to the non-cloud data center.

Migrate an App from Non-Cloud Data Center to Cloud.

According to another illustrative embodiments, a method for migrating anapplication from a non-cloud data center to a cloud computingenvironment comprises: by a first computing device (e.g., storagemanager), discovering first assets associated with a first applicationthat executes in a non-cloud data center; by the first computing device,generating a first application-entity definition that corresponds to thefirst application and is associated with a list of the first assets;initiating by the first computing device a storage management operationfor the first application-entity, wherein the storage managementoperation generates a first set of copies of the first assets associatedwith the first application; by the first computing device, accessing afirst cloud computing environment; by the first computing device,generating a cloud services definition for the first application in thefirst cloud computing environment, based at least in part on convertingan asset mapping associated with the first application-entity into thecloud services definition that is suitable for the first cloud computingenvironment; causing by the first computing device the first set ofcopies to be migrated to the first cloud computing environment;activating the first application at the first cloud computingenvironment, based at least in part on the cloud services definition,wherein the first application uses assets migrated from the first set ofcopies.

In other embodiments according to the present invention, a system orsystems operates according to one or more of the methods and/orcomputer-readable media recited in the preceding paragraphs. In yetother embodiments, a method or methods operates according to one or moreof the systems and/or computer-readable media recited in the precedingparagraphs. In yet more embodiments, a non-transitory computer-readablemedium or media causes one or more computing devices having one or moreprocessors and computer-readable memory to operate according to one ormore of the systems and/or methods recited in the preceding paragraphs.

Terminology

Conditional language, such as, among others, “can,” “could,” “might,” or“may,” unless specifically stated otherwise, or otherwise understoodwithin the context as used, is generally intended to convey that certainembodiments include, while other embodiments do not include, certainfeatures, elements and/or steps. Thus, such conditional language is notgenerally intended to imply that features, elements and/or steps are inany way required for one or more embodiments or that one or moreembodiments necessarily include logic for deciding, with or without userinput or prompting, whether these features, elements and/or steps areincluded or are to be performed in any particular embodiment.

Unless the context clearly requires otherwise, throughout thedescription and the claims, the words “comprise,” “comprising,” and thelike are to be construed in an inclusive sense, as opposed to anexclusive or exhaustive sense, i.e., in the sense of “including, but notlimited to.” As used herein, the terms “connected,” “coupled,” or anyvariant thereof means any connection or coupling, either direct orindirect, between two or more elements; the coupling or connectionbetween the elements can be physical, logical, or a combination thereof.Additionally, the words “herein,” “above,” “below,” and words of similarimport, when used in this application, refer to this application as awhole and not to any particular portions of this application. Where thecontext permits, words using the singular or plural number may alsoinclude the plural or singular number respectively. The word “or” inreference to a list of two or more items, covers all of the followinginterpretations of the word: any one of the items in the list, all ofthe items in the list, and any combination of the items in the list.Likewise, the term “and/or” in reference to a list of two or more items,covers all of the following interpretations of the word: any one of theitems in the list, all of the items in the list, and any combination ofthe items in the list.

In some embodiments, certain operations, acts, events, or functions ofany of the algorithms described herein can be performed in a differentsequence, can be added, merged, or left out altogether (e.g., not allare necessary for the practice of the algorithms). In certainembodiments, operations, acts, functions, or events can be performedconcurrently, e.g., through multi-threaded processing, interruptprocessing, or multiple processors or processor cores or on otherparallel architectures, rather than sequentially.

Systems and modules described herein may comprise software, firmware,hardware, or any combination(s) of software, firmware, or hardwaresuitable for the purposes described. Software and other modules mayreside and execute on servers, workstations, personal computers,computerized tablets, PDAs, and other computing devices suitable for thepurposes described herein. Software and other modules may be accessiblevia local computer memory, via a network, via a browser, or via othermeans suitable for the purposes described herein. Data structuresdescribed herein may comprise computer files, variables, programmingarrays, programming structures, or any electronic information storageschemes or methods, or any combinations thereof, suitable for thepurposes described herein. User interface elements described herein maycomprise elements from graphical user interfaces, interactive voiceresponse, command line interfaces, and other suitable interfaces.

Further, processing of the various components of the illustrated systemscan be distributed across multiple machines, networks, and othercomputing resources. Two or more components of a system can be combinedinto fewer components. Various components of the illustrated systems canbe implemented in one or more virtual machines, rather than in dedicatedcomputer hardware systems and/or computing devices. Likewise, the datarepositories shown can represent physical and/or logical data storage,including, e.g., storage area networks or other distributed storagesystems. Moreover, in some embodiments the connections between thecomponents shown represent possible paths of data flow, rather thanactual connections between hardware. While some examples of possibleconnections are shown, any of the subset of the components shown cancommunicate with any other subset of components in variousimplementations.

Embodiments are also described above with reference to flow chartillustrations and/or block diagrams of methods, apparatus (systems) andcomputer program products. Each block of the flow chart illustrationsand/or block diagrams, and combinations of blocks in the flow chartillustrations and/or block diagrams, may be implemented by computerprogram instructions. Such instructions may be provided to a processorof a general purpose computer, special purpose computer,specially-equipped computer (e.g., comprising a high-performancedatabase server, a graphics subsystem, etc.) or other programmable dataprocessing apparatus to produce a machine, such that the instructions,which execute via the processor(s) of the computer or other programmabledata processing apparatus, create means for implementing the actsspecified in the flow chart and/or block diagram block or blocks. Thesecomputer program instructions may also be stored in a non-transitorycomputer-readable memory that can direct a computer or otherprogrammable data processing apparatus to operate in a particularmanner, such that the instructions stored in the computer-readablememory produce an article of manufacture including instruction meanswhich implement the acts specified in the flow chart and/or blockdiagram block or blocks. The computer program instructions may also beloaded to a computing device or other programmable data processingapparatus to cause operations to be performed on the computing device orother programmable apparatus to produce a computer implemented processsuch that the instructions which execute on the computing device orother programmable apparatus provide steps for implementing the actsspecified in the flow chart and/or block diagram block or blocks.

Any patents and applications and other references noted above, includingany that may be listed in accompanying filing papers, are incorporatedherein by reference. Aspects of the invention can be modified, ifnecessary, to employ the systems, functions, and concepts of the variousreferences described above to provide yet further implementations of theinvention. These and other changes can be made to the invention in lightof the above Detailed Description. While the above description describescertain examples of the invention, and describes the best modecontemplated, no matter how detailed the above appears in text, theinvention can be practiced in many ways. Details of the system may varyconsiderably in its specific implementation, while still beingencompassed by the invention disclosed herein. As noted above,particular terminology used when describing certain features or aspectsof the invention should not be taken to imply that the terminology isbeing redefined herein to be restricted to any specific characteristics,features, or aspects of the invention with which that terminology isassociated. In general, the terms used in the following claims shouldnot be construed to limit the invention to the specific examplesdisclosed in the specification, unless the above Detailed Descriptionsection explicitly defines such terms. Accordingly, the actual scope ofthe invention encompasses not only the disclosed examples, but also allequivalent ways of practicing or implementing the invention under theclaims.

To reduce the number of claims, certain aspects of the invention arepresented below in certain claim forms, but the applicant contemplatesother aspects of the invention in any number of claim forms. Forexample, while only one aspect of the invention is recited as ameans-plus-function claim under 35 U.S.C sec. 112(f) (AIA), otheraspects may likewise be embodied as a means-plus-function claim, or inother forms, such as being embodied in a computer-readable medium. Anyclaims intended to be treated under 35 U.S.C. § 112(f) will begin withthe words “means for,” but use of the term “for” in any other context isnot intended to invoke treatment under 35 U.S.C. § 112(f). Accordingly,the applicant reserves the right to pursue additional claims afterfiling this application, in either this application or in a continuingapplication.

What is claimed is:
 1. A method for protecting a serverless applicationusing assets from multiple cloud computing environments: by a firstcomputing device, generating a list of first assets associated with afirst application operating in a first cloud computing environmentaccessed by a first cloud service account, wherein the first computingdevice comprises one or more hardware processors; by the first computingdevice, generating a first application-entity definition thatcorresponds to the first application and is associated with the list offirst assets associated with the first application; by the firstcomputing device, discovering in a second cloud computing environmentsecond assets associated with the first application; by the firstcomputing device, associating the first application-entity with thesecond cloud assets associated with the first application; initiating bythe first computing device a storage management operation for the firstapplication-entity, wherein the storage management operation generates afirst set of copies of the first assets and of the second assetsassociated with the first application; and wherein the first set ofcopies represent a point-in-time copy of the first application at a timewhen the storage management operation was initiated for the firstapplication-entity.
 2. The method of claim 1 further comprising: by thefirst computing device, causing the first set of copies to be restored,wherein some of the first set of copies corresponding to the firstassets are restored to the first cloud computing environment, andfurther wherein some of the first set of copies corresponding to thesecond assets are restored to the second cloud computing environment;and activating the first application at the first cloud service account,wherein the first application uses the restored first cloud assets inthe first cloud computing environment and the restored second assets inthe second cloud computing environment.
 3. The data storage managementsystem of claim 1 further comprising: by the first computing device,causing the first set of copies to be migrated to a third cloudcomputing environment that is distinct from the first and the secondcloud computing environments; and activating the first application atthe third cloud computing environment, wherein the first applicationuses third cloud assets corresponding to the first and the second assetsbased on a cloud services definition that is suitable for the thirdcloud computing environment.
 4. The method of claim 3, wherein migratingthe first set of copies to the third computing environment comprisesconverting an asset mapping associated with the first application-entityinto the cloud services definition that is suitable for the third cloudcomputing environment.
 5. The method of claim 1 further comprising: bythe first computing device, causing the first set of copies to migrateto a non-cloud data center that is distinct from the first and thesecond cloud computing environments; and activating the firstapplication at the non-cloud data center, wherein the first applicationuses third assets configured from the first and the second assets toconfigurations suitable to the non-cloud data center.
 6. The method ofclaim 5, wherein migrating the first set of copies to the non-cloud datacenter comprises converting an asset mapping associated with the firstapplication entity into the configurations suitable to the non-clouddata center.
 7. The method of claim 1, wherein the list of assetsassociated with the first application are discovered by the firstcomputing device based on a cloud services definition in the first cloudservice account.
 8. The method of claim 1, further comprising: by thefirst computing device, based on determining one or more dependenciesamong the assets associated with the first application, generating anasset mapping for the first application-entity that comprises the one ormore dependencies.
 9. The method of claim 1, by the first computingdevice, based on determining one or more dependencies among the assetsassociated with the first application, generating an asset mapping forthe first application-entity that comprises the one or moredependencies, and wherein the first set of copies are generatedaccording to a first order of operations based on the one or moredependencies among the assets associated with the first application. 10.The method of claim 1, wherein the first application-entity definitionis stored in a database associated with the first computing device, andwherein the database comprises one or more preferences for protectingthe first application-entity.
 11. The method of claim 1, wherein thestorage management operation comprises at least one of: a full backup ofthe first application-entity; an incremental backup of the firstapplication-entity; a differential backup of the firstapplication-entity; continuous replication of the firstapplication-entity; and live synchronization of the firstapplication-entity.
 12. The method of claim 1, wherein the assetsassociated with the first application comprise at least one of: avirtual computing environment, a template for the virtual computingenvironment, secure login information, storage for temporary data,persistent storage, metadata, virtual network resources and/orconfigurations, a snapshot, a security group, a configuration file, alambda function, a native cloud application, a virtual machine, adatabase, a file storage resource, a block storage resource.
 13. Amethod for migrating a serverless application operating in a first cloudcomputing environment to a second cloud computing environment, themethod comprising: by a first computing device, generating a list ofassets associated with a first application operating in a first cloudcomputing environment accessed by a first cloud service account, whereinthe first computing device comprises one or more hardware processors; bythe first computing device, generating a first application-entitydefinition that corresponds to the first application and comprises thelist of assets associated with the first application; by the firstcomputing device, initiating a storage management operation for thefirst application-entity, wherein the storage management operationgenerates a first set of copies of the assets associated with the firstapplication; and wherein the first set of copies represent apoint-in-time copy of the first application at a time when the storagemanagement operation was initiated for the first application-entity; bythe first computing device, causing the first set of copies to migrateto a second cloud computing environment, based at least in part ongenerating a cloud service definition in the second cloud computingenvironment from the application-entity; and activating the firstapplication in the second cloud computing environment, wherein the firstapplication uses assets migrated from the first set of copies.
 14. Themethod of claim 13, wherein the first computing device comprises avirtual computing resource that executes in one of: the second cloudcomputing environment and the first cloud computing environment.
 15. Themethod of claim 13, wherein the first computing device comprises avirtual computing resource that executes in a third cloud computingenvironment different from the second cloud computing environment andthe first cloud computing environment.
 16. The method of claim 13,wherein the first computing device comprises a virtual computingresource that executes in a different cloud service account from thefirst cloud service account in the first cloud computing environment.17. The method of claim 13, wherein the first set of copies of the oneor more cloud assets associated with the first application are stored instorage resources in the second cloud computing environment.
 18. Themethod of claim 13 further comprising: by the first computing device,discovering assets associated with a second application operating in thefirst cloud computing environment, wherein at least one asset associatedwith the first application is also associated with the secondapplication; by the first computing device, generating a list of assetsassociated with the second application; by the first computing device,generating a second application-entity definition that corresponds tothe second application and comprises the list of assets associated withthe second application; by the first computing device, initiating asecond storage management operation for the second application-entity,based on a set of preferences for the second application-entity, andresulting in a second set of copies of the assets associated with thesecond application including at least one copy of the at least one assetassociated with the first application is also associated with the secondapplication; and wherein the second set of copies represent apoint-in-time copy of the second application at a time when the secondstorage management operation was initiated for the secondapplication-entity; by the first computing device, causing the secondset of copies to migrate to the second cloud computing environment,based at least in part on generating a cloud service definition for thesecond application in the second cloud computing environment; andactivating the second application in the second cloud computingenvironment, wherein the first application uses at least some assetsmigrated from the first set of copies.
 19. A method for migrating anapplication from a non-cloud data center to a cloud computingenvironment: by a first computing device, discovering first assetsassociated with a first application that executes in a non-cloud datacenter; by the first computing device, generating a firstapplication-entity definition that corresponds to the first applicationand is associated with a list of the first assets; initiating by thefirst computing device a storage management operation for the firstapplication-entity, wherein the storage management operation generates afirst set of copies of the first assets associated with the firstapplication; by the first computing device, accessing a first cloudcomputing environment; by the first computing device, generating a cloudservices definition for the first application in the first cloudcomputing environment, based at least in part on converting an assetmapping associated with the first application-entity into the cloudservices definition that is suitable for the first cloud computingenvironment; causing by the first computing device the first set ofcopies to be migrated to the first cloud computing environment; andactivating the first application at the first cloud computingenvironment, based at least in part on the cloud services definition,wherein the first application uses assets migrated from the first set ofcopies.
 20. The method of claim 19, wherein the first set of copies arestored to storage resources in the non-cloud data center that isdistinct from the first cloud computing environment.